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Cuboid Inc.'s avatar
Cuboid Inc.
proPakistan
30+ Apps Shipped | Flutter, Angular & ASP.NET
$100k+
Earned
7x
Hired
5.0
Rating
52
Followers
30+ Apps Shipped | Flutter, Angular & ASP.NET
Cover image for 📌 Case Study: PolySwap (PoliexSwap)
📌 Case Study: PolySwap (PoliexSwap) — Decentralized AMM & Yield Farming on Polygon Category: DeFi · Decentralized Exchange · Web3 Platform: Web (Polygon Network) Project Type: Automated Market Maker (AMM) & Yield Farming Protocol Live: polyswap.netlify.app (http://polyswap.netlify.app) Project Overview PolySwap (https://polyswap.netlify.app) — built as PoliexSwap — is a decentralized exchange and high-yield farming protocol deployed on the Polygon network. It gives users the ability to swap tokens, provide liquidity, and earn yield on their assets directly from a non-custodial Web3 interface, without intermediaries and without leaving their wallets. Built by Cuboid, it sits in the same product category as PancakeSwap on BSC — but positioned specifically for Polygon's faster, lower-cost infrastructure. The Problem Ethereum's gas fees made DeFi participation prohibitively expensive for smaller investors. Binance Smart Chain addressed the cost problem but introduced centralization trade-offs many users weren't comfortable with. Polygon emerged as a legitimate Layer 2 alternative — fast, cheap, and EVM-compatible — but lacked a native, fully-featured AMM and yield farming platform at the time. The opportunity was clear: a first-mover DEX on Polygon that combined token swapping, liquidity provision, and high-yield farming in a single, clean interface built for the Polygon-native user. Our Solution Cuboid designed and developed the full PolySwap platform — smart contract integration, liquidity pool architecture, yield farming interface, and wallet connectivity — on Polygon's EVM-compatible chain. The interface was modeled on the established DEX UX patterns users already knew from Uniswap and PancakeSwap, lowering the barrier to entry while delivering Polygon's speed and cost advantages underneath. The platform was built to be genuinely non-custodial throughout — users connect their own wallets, execute swaps and deposits directly on-chain, and retain full control of their assets at every step. Key Features & Capabilities Token Swapping (AMM) — An automated market maker enabling direct token-to-token swaps on Polygon without order books, central servers, or custodial risk. Pricing is determined algorithmically by liquidity pool ratios, ensuring continuous liquidity at all times. Liquidity Provision — Users deposit token pairs into liquidity pools and earn a share of all swap fees generated by that pool — passive yield tied directly to platform trading volume rather than speculative token price. High-Yield Farming — Liquidity providers receive LP tokens representing their pool share, which can be staked in farming contracts to earn additional protocol rewards on top of swap fees. The dual-layer yield model — fees plus farming rewards — was positioned as the platform's primary value proposition for capital deployment on Polygon. Non-Custodial & Permissionless — No sign-up, no KYC, no custody. Users connect a compatible Web3 wallet and interact with smart contracts directly. Any Polygon-compatible token pair can be added as a liquidity pool without platform approval. Polygon-Native Performance — Transactions settle in seconds at a fraction of Ethereum mainnet gas costs, making frequent farming interactions and compounding strategies economically viable for users of any portfolio size. Why Polygon The decision to build on Polygon rather than Ethereum mainnet or BSC was deliberate. Polygon's EVM compatibility meant existing Ethereum tooling, wallets, and token standards worked without modification. Its transaction costs and speed made high-frequency DeFi interactions — swaps, deposits, harvest cycles — practical for retail users, not just whales. Positioning PolySwap as the first high-yield AMM on Polygon was a first-mover bet on a network that has since grown into one of the most active EVM chains in DeFi. Final Outcome PolySwap demonstrates Cuboid's capability across the full DeFi product stack — AMM smart contract integration, liquidity pool architecture, yield farming mechanics, and a consumer-grade Web3 interface built for a specific chain's competitive advantage. It's a project that required both technical precision and an understanding of how DeFi users think about capital, risk, and yield.
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Cover image for 📌 Case Study: NFT Gaming
📌 Case Study: NFT Gaming Stars — Play-to-Earn Blockchain Gaming Platform Category: Web3 · GameFi · NFT & Metaverse Platform: Web (Binance Smart Chain) · iOS & Android (in development) Project Type: Decentralized Play-to-Earn Gaming Ecosystem Live: nftgamingstars.com (http://nftgamingstars.com) Project Overview NFT Gaming Stars (https://nftgamingstars.com) is a Binance Smart Chain-based Play-to-Earn gaming ecosystem that unites NFTs, decentralized gaming, staking, and a metaverse layer under a single platform. Its native token — GS1 — serves as the currency of the entire ecosystem, powering in-game earnings, NFT purchases, staking rewards, and wallet-to-wallet trading. Built by Cuboid, the platform was designed to sit at the intersection of GameFi and the broader Web3 movement at a time when that space was defining its own rules. The Problem The convergence of blockchain and gaming presented a genuine opportunity — but most early Play-to-Earn platforms prioritized tokenomics over user experience, producing platforms that felt transactional and inaccessible to anyone who wasn't already deep in crypto. The result was an ecosystem that talked about fun but delivered a spreadsheet. NFT Gaming Stars needed a platform that could attract both crypto-native users and mainstream gamers — one that delivered real earning mechanics without sacrificing the experience quality that keeps people playing. Our Solution Cuboid built the full web platform and DApp infrastructure for NFT Gaming Stars on Binance Smart Chain — handling smart contract integration, the marketplace UI, staking interface, wallet connectivity, and the P2E game environment. The platform went live with a complete ecosystem from day one: token purchase, NFT minting, staking at up to 60% APY, and an operational Play-to-Earn game accessible directly from the browser. The architecture was built around a customizable API layer to support transaction handling at scale, with decentralization and cryptographic security embedded at the infrastructure level — not bolted on as an afterthought. Key Features & Capabilities GS1 Token Ecosystem — A fixed supply of 250 million GS1 tokens with liquidity locked until 2033. GS1 functions as the platform's medium of exchange across games, NFT purchases, staking, and wallet-to-wallet trading — designed for multi-utility across the entire Stars Network rather than single-game use. Play-to-Earn Games — Browser-based P2E games where players earn GS1 by playing, with NFT holders earning passive GS1 as the ecosystem expands into metaverse interactions. The first game, Battle Leet, launched as a proof-of-concept with a mobile app roadmap following behind. NFT Marketplace — A limited edition of 1,000 NFTs available for purchase on-platform, covering in-game assets including skins, weapons, land, and aesthetic upgrades. Every asset is verifiable, traceable, and immutable on-chain. Staking — Users stake GS1 directly on the platform for APY rewards, creating a holding incentive beyond active gameplay and supporting long-term token stability. Walk-to-Earn Integration — A Walk2Earn application concept integrating AR and AI — rewarding physical activity with GS1 earnings, extending the platform's utility beyond screen-based gaming entirely. Decentralized Exchange Layer — Direct crypto wallet trading with support for GS1, BNB, and other BSC assets. No central authority, no custody risk — users trade directly from their own wallets throughout. MetaStars — Metaverse Expansion — The platform roadmap includes MetaStars, a full metaverse environment where NFT holders interact with assets in an immersive virtual world, with multiplayer game development including a chess variant running in parallel. Community & Traction NFT Gaming Stars launched with a 34,000-follower Twitter community, airdrop campaigns distributing over $20,000 in GS1 and 32 NFTs, and listings across major crypto data platforms including CoinMarketCap and Bitget. The project's audit was handled by SolidProof, and KYC verification was processed through the same trust infrastructure used by established BSC projects. Final Outcome NFT Gaming Stars demonstrates Cuboid's capability in full-stack Web3 product development — smart contract integration, decentralized exchange infrastructure, NFT marketplace architecture, and P2E game environments — delivered for a live, token-listed, community-backed project operating on Binance Smart Chain.
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Cover image for Development of TriStar Finance Mortgage Platform
Development of TriStar Finance Mortgage Platform
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Cover image for 📌 Case Study: Candlestick Academy
📌 Case Study: Candlestick Academy — Trading Chart Pattern Mastery App Category: Education · Finance & Trading Platform: iOS & iPadOS (iPhone, iPad, Mac via Apple Silicon, Apple Vision Pro) Project Type: Gamified Financial Education App Live: candlestick-academy.web.app (http://candlestick-academy.web.app) · App Store (https://apps.apple.com/pk/app/candlestick-academy/id6763744872) Project Overview Candlestick Academy (https://candlestick-academy.web.app) is a trading education app that teaches all 28 essential candlestick patterns through cinematic storytelling, live market simulation, and competitive battle modes. The positioning says it best: Bloomberg Terminal meets Duolingo. Built and published by Cuboid, it's a fully offline, no-subscription, no-ads product built for traders who are serious about developing real pattern recognition — not just memorizing definitions. The Problem Candlestick chart patterns are fundamental to technical trading, but the way they're typically taught — textbooks, static images, dry definitions — doesn't build the instinctive recognition that actually matters when markets are moving in real time. Traders end up knowing what a Hammer looks like on paper but freezing when they see one forming tick by tick on a live chart. Existing trading education apps either oversimplified the material for beginners or buried it in subscription paywalls and generic content libraries. There was no product that combined the depth of professional trading education with the engagement mechanics needed to make the learning actually stick. Our Solution Candlestick Academy was built around one premise: recognition is a skill, not a fact. The app develops that skill through three distinct learning modes — each targeting a different stage of pattern mastery — tied together with a gamified progression system that keeps traders coming back daily. The entire app runs offline, with no subscription and no ads. The product earns its place through quality, not lock-in. Key Features & Capabilities Live Market Simulator — A dark, terminal-style interface with tick-by-tick candle formation that mimics a real trading screen. Users watch patterns develop in real time, identify them, tap "SIGNAL!", and earn or lose ELO rating based on accuracy. Progression runs from Rookie to Pro, with each rank requiring genuine improvement. Story-Driven Pattern Learning — All 28 patterns are taught through market psychology narratives — the human stories behind why bulls and bears create each formation. A Doji isn't just a cross-shaped candle; it's a moment of genuine indecision between two forces with equal conviction. That framing makes patterns memorable in a way that definitions never do. Spaced Repetition Engine — Powered by the SM-2 algorithm, the same system used by serious language learners. The app schedules review of each pattern at the optimal moment for long-term retention, not just short-term recall. Adaptive Drills — The system identifies weak spots in a user's pattern recognition and rebuilds every 10-question session around those specific gaps. No two sessions are identical. Anatomy Drills — Users tap individual parts of a candlestick — wicks, bodies, shadows — and the app explains exactly what that price movement represents at that moment in market psychology. It teaches traders to read candles, not just recognise them. Pattern Matchup — Long-press any two patterns to see a side-by-side comparison of their visual structure and psychological sentiment. Particularly useful for distinguishing similar-looking patterns that signal opposite market moves. Battle Mode — Timed competitive sessions with a ×4 combo multiplier for streak accuracy. Fast pattern recognition under pressure is the specific skill that separates traders who hesitate from traders who act. Mastery Constellation — Progress is visualised as a growing galaxy of stars — each pattern mastered adds a star to the user's constellation. It's a visual representation of accumulated knowledge, not just a progress bar. Daily Challenges — A curated 5-question set each morning to maintain active recall and keep streaks alive without requiring long sessions. 63 Automated Tests — Every pattern in the app is validated against 63 automated tests to ensure mathematical correctness. In a domain where accuracy is non-negotiable, this isn't a feature — it's a baseline. Design Philosophy The visual language is deliberately terminal-dark — professional, focused, and built to look credible on a trading desk rather than playful in a gaming context. The gamification layer (ELO, battle mode, constellation, streaks) is present and engaging but never trivializes the subject matter. The product respects the user's intelligence throughout. Final Outcome Candlestick Academy demonstrates Cuboid's ability to build sophisticated educational products at the intersection of fintech and consumer mobile — combining rigorous content, adaptive learning algorithms, live simulation, and professional-grade design. It's a product that competes with established trading education platforms on every dimension that matters to a serious trader.
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Web3.js(2)
Mughira Ahmed's avatar
Mughira Ahmed
proIslamabad, Pakistan
Blockchain & AI Engineer | Web3, DeFi, Full-Stack
5.0
Rating
7
Followers
Blockchain & AI Engineer | Web3, DeFi, Full-Stack
Cover image for NiC - Nickel-Backed Blockchain RWA Platform
NiC - Nickel-Backed Blockchain RWA Platform
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Cover image for Blenix - EVM Blockchain & DeFi Ecosystem
Blenix - EVM Blockchain & DeFi Ecosystem
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Cover image for Blip Logistics: Solutions for Supply
Blip Logistics: Solutions for Supply Chain Management
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Cover image for Tap Trade - Local Item Swapping & Bartering App
Tap Trade - Local Item Swapping & Bartering App
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Web3.js(3)
Muhammad Usman's avatar
Muhammad Usman
Karachi, Pakistan
FullStack Dev & AI Automation | MERN, CMS, GHL, n8n Workflow
6
Followers
FullStack Dev & AI Automation | MERN, CMS, GHL, n8n Workflow
Cover image for Crypto Hunters Game Development
Crypto Hunters Game Development
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Cover image for AI Voice Agents for Healthcare HIPAA-Compliant
AI Voice Agents for Healthcare HIPAA-Compliant AI Receptionist & Patient Automation Healthcare teams spend countless hours answering repetitive phone calls, scheduling appointments, verifying insurance, and following up with patients. I built AI Voice Agents that automate these workflows while delivering natural, human-like conversations and integrating directly with healthcare systems. Project Overview This project showcases production-ready AI voice agents designed for clinics, medical practices, wellness centers, and healthcare providers. The system can answer inbound calls, qualify new patients, schedule appointments, retrieve patient information, send SMS confirmations, and escalate complex requests to staff when needed. Key Features • 24/7 AI Receptionist • Appointment Booking & Rescheduling • Insurance & Claims Support • Patient Qualification • Calendar Integration • SMS & Email Confirmations • EHR / CRM Integration • Human Handoff • Natural AI Conversations Example Workflows Insurance Support Patients can ask questions about coverage, eligibility, claim deadlines, and policy information. The AI provides accurate responses, sends helpful SMS links, and transfers complicated cases to a human representative when required. Patient Appointment Booking When a new lead submits a website form, the AI immediately calls them, answers questions, checks calendar availability, books an appointment, and sends confirmation automatically. Treatment Scheduling The AI verifies patient identity, retrieves treatment information, checks remaining sessions, and books follow-up appointments without manual staff involvement. Tech Stack • Retell AI • OpenAI GPT • n8n • Make.com (http://Make.com) • Zapier • GoHighLevel • Twilio • Google Calendar • Custom API Integrations Results ✔ Faster response times ✔ Reduced administrative workload ✔ Automated appointment scheduling ✔ Improved patient experience ✔ 24/7 availability ✔ Fewer missed opportunities If you're looking to automate patient communication with AI Voice Agents, I can build a secure, scalable solution tailored to your healthcare workflow.
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Cover image for 🚨 Still hiring people to
🚨 Still hiring people to answer the same questions every day? Most businesses lose time and money on repetitive tasks: ❌ Answering routine calls ❌ Qualifying leads manually ❌ Booking appointments ❌ Following up with prospects ❌ Handling basic customer support As call volume grows, so do staffing costs, management overhead, and missed opportunities. ✅ AI Voice Agents solve this. They can: • Answer calls 24/7 • Qualify leads automatically • Book appointments in real time • Follow up with customers • Update your CRM • Handle support requests instantly No hold times. No missed calls. No additional headcount. The result? 📈 Faster response times 📈 Lower operational costs 📈 Better customer experience 📈 More qualified opportunities I specialize in building AI Voice Agents powered by OpenAI, Vapi, Retell, and n8n that automate sales, support, scheduling, and customer engagement workflows. Let your team focus on high-value work while AI handles the repetitive conversations.
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Cover image for UClean Franchise Development
UClean Franchise Development
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Web3.js(1)
Adnan Akhtar's avatar
Adnan Akhtar
Islamabad, Pakistan
Crypto Wallet Apps & Blockchain Developer for Web3 Companies
8
Followers
Crypto Wallet Apps & Blockchain Developer for Web3 Companies
Cover image for TOMI – Web3 Ecosystem Platform TOMI
TOMI – Web3 Ecosystem Platform TOMI is a Web3 ecosystem platform built to support blockchain-powered products, decentralized services, and digital ownership experiences. The website acts as the main entry point for users to understand the TOMI ecosystem, explore its products, and interact with Web3-focused services through a modern, scalable, and performance-driven web experience. My role focused on developing and improving the frontend architecture of the platform using modern web technologies. I worked on creating reusable components, responsive layouts, and smooth user flows that could support a premium Web3 product experience across desktop and mobile devices. The goal was to make the platform visually polished while keeping it fast, reliable, and easy to use. From a technical perspective, I contributed to Web3-related integrations, dynamic data handling, API connectivity, and blockchain-focused user flows. The platform required careful handling of asynchronous data, wallet-related states, transaction-driven interactions, and real-time updates from external services. I focused on making these flows stable, user-friendly, and scalable for production use. Performance and scalability were also key priorities. I worked on optimizing page load speed, improving rendering behavior, managing reusable UI structures, and ensuring the website performed consistently across browsers and screen sizes. The implementation was designed to support future ecosystem expansion without making the codebase difficult to maintain. The project involved technologies such as Next.js, React.js, TypeScript, REST APIs, Web3 integrations, blockchain data services, Git, and modern deployment workflows. The final result was a scalable and production-ready Web3 platform experience that helped present the TOMI ecosystem in a clear, technical, and user-focused way.
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Cover image for I developed TomiPay, a multi-chain
I developed TomiPay, a multi-chain crypto wallet and Web3 super app built for users to manage digital assets, send and receive crypto, swap tokens, explore NFTs, connect with dApps, chat with users, use AI features, and send digital gifts. TomiPay supports major blockchain networks including Bitcoin, Solana, Tron, Ethereum, BSC, Base, Polygon, and Sonic. Users can manage their crypto portfolio, view token balances, send and receive assets, swap tokens, manage NFTs, connect through WalletConnect, and interact with decentralized applications. Beyond wallet features, I built an AI-powered experience and real-time chat system inside the app. Users can communicate through secure chat, access AI features, and use a complete gift system to send, receive, and manage digital gifts within the platform. The project included portfolio tracking, QR-based receive flow, wallet address display, copy/share address, token management, NFT wallet functionality, token swaps, WalletConnect integration, dApp connectivity, AI features, chat system, gift shop, gift sending, gift receiving, and complete digital asset management. This project focused on crypto wallet development, blockchain wallet integration, multi-chain wallet support, Web3 app development, DeFi wallet features, AI-powered Web3 apps, crypto chat apps, NFT wallet functionality, WalletConnect integration, dApp connectivity, token swaps, crypto portfolio tracking, and digital gift systems.
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Cover image for Peymo — Self-Custodial Crypto Wallet & Payment App
Peymo — Self-Custodial Crypto Wallet & Payment App
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Cover image for DexCrypto — Crypto Wallet, Swap & Trading App
DexCrypto — Crypto Wallet, Swap & Trading App
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Web3.js(2)
Hammad Ehsan Ullah's avatar
Hammad Ehsan Ullah
Gujranwala, Pakistan
AI Engineer | Full-Stack Engineer I Blockchain Developer
AI Engineer | Full-Stack Engineer I Blockchain Developer
Cover image for DeFi Liquidity Protocol — Smart
DeFi Liquidity Protocol — Smart Contract Development A decentralized finance (DeFi) protocol enabling seamless token swaps, liquidity provision, and yield farming with secure smart contracts and intuitive user experience. Platform Features: Automated Market Maker (AMM) with dynamic pricing Multi-chain support (Ethereum, Polygon, Arbitrum, BSC) Liquidity pools with concentrated liquidity (Uniswap V3 style) Yield farming with reward distribution Governance token staking Advanced charting and price feeds Wallet integration (MetaMask, WalletConnect, Rainbow) Smart Contracts: Solidity development with ERC-20, ERC-721 standards Uniswap V2/V3 compatible architecture Gas-optimized code (~40% reduction) Comprehensive security testing & audits OpenZeppelin standard library integration Frontend & Backend: React/Next.js frontend with Wagmi & RainbowKit Node.js backend for indexing & analytics Real-time price feeds & market data PostgreSQL for transaction history TheGraph subgraph for on-chain data queries WebSocket connections for live updates Infrastructure: Docker containerization AWS deployment with auto-scaling CI/CD pipelines (GitHub Actions) Monitoring & alerting systems Tech Stack: Solidity, Web3.js, Ethers.js, React, Next.js, Node.js, TypeScript, PostgreSQL, Docker, AWS This project demonstrates expertise in DeFi protocols, secure smart contract development, blockchain integration, and scalable architecture.
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Cover image for Time-Tracker Pro — Intelligent Time
Time-Tracker Pro — Intelligent Time Management & Productivity SaaS A comprehensive SaaS platform that helps teams and freelancers track time, manage projects, and optimize productivity with AI-powered insights. Core Features: Real-time time tracking with automatic detection Project & task management with hierarchical organization Detailed time analytics and productivity reports Team collaboration & billable hours tracking Invoice generation from tracked time Browser extension for seamless tracking Mobile app for on-the-go time logging Idle time detection & smart reminders Integration with popular tools (Slack, Jira, Asana, Google Calendar) AI-Powered Capabilities: Automatic activity categorization using machine learning Predictive project time estimates Productivity insights & trend analysis Smart recommendations for time optimization Natural language project/task creation Anomaly detection for unusual patterns Dashboard & Reporting: Real-time team activity dashboard Customizable productivity reports Time distribution charts & visualizations Client billing reports with detailed breakdowns Performance metrics & KPIs Export to PDF, CSV, or integrate with accounting software Technical Stack: Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, NestJS Database: PostgreSQL for relational data, Redis for caching AI/ML: Python (scikit-learn, TensorFlow) for predictions Real-time: WebSockets for live updates Infrastructure: Docker, AWS EC2, S3, Lambda CI/CD: GitHub Actions Authentication: OAuth 2.0, JWT tokens Key Accomplishments: ✓ 1000+ concurrent users support ✓ Sub-100ms API response times ✓ 99.9% uptime SLA ✓ Encrypted data storage & transmission ✓ GDPR compliant ✓ Scalable microservices architecture ✓ Automated testing (Jest, Cypress) This project demonstrates expertise in: SaaS architecture & scalability Real-time systems & WebSockets AI/ML integration for predictions Payment processing & invoicing User authentication & security Team collaboration features Production deployment & DevOps
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Cover image for AI-Powered Application - LLM Integration
AI-Powered Application - LLM Integration & Intelligent Automation A production-grade application that leverages large language models (LLMs) to deliver intelligent automation, real-time assistance, and enhanced user experiences. Core Features: Multi-turn conversational AI with context awareness Retrieval-Augmented Generation (RAG) for knowledge-grounded responses Function calling for external API integrations Real-time streaming responses for better UX Prompt engineering for task-specific outputs Fine-tuned models for domain-specific use cases Vector database integration (Pinecone, Weaviate) Intelligent document processing & summarization Application Capabilities: Natural language understanding & processing Automated content generation Smart data extraction from unstructured text Intelligent customer support automation Code generation & debugging assistance Real-time translation & multilingual support Advanced search with semantic understanding Personalized recommendations Tech Stack: LLM APIs: OpenAI (GPT-4), Claude, Cohere Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, FastAPI (Python) Vector Databases: Pinecone, Weaviate, Chroma Infrastructure: Docker, AWS, Vercel Monitoring: LangSmith, Helicone for LLM tracking Architecture Highlights: ✓ Asynchronous processing for scalability ✓ Caching strategies to optimize LLM costs ✓ Error handling & fallback mechanisms ✓ Rate limiting & usage monitoring ✓ Security: API key management, data encryption ✓ Performance: Sub-second response times ✓ Cost-optimized with token management This project demonstrates expertise in: LLM integration and orchestration Prompt engineering and optimization RAG pipeline development Production-grade AI systems Full-stack application architecture
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Cover image for VulnGuard AI - Smart Contract
VulnGuard AI - Smart Contract Vulnerability Scanner VulnGuard AI is an AI-powered smart contract security auditing platform that automatically detects vulnerabilities, security risks, and code quality issues in blockchain smart contracts. The platform leverages machine learning to identify patterns across thousands of contracts and provide actionable security recommendations. Built with Python, LLMs, and production-grade backend APIs for Web3 integration. Key Features: Automated vulnerability detection Machine learning-based pattern recognition Real-time security scanning Detailed risk reports with remediation guidance EVM-compatible blockchain support API integration for developer workflows This project demonstrates full-stack expertise in AI/ML, backend systems, blockchain security, and product development.
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Web3.js(1)
Qasim Shahzad's avatar
Qasim Shahzad
Islamabad, Pakistan
Full Stack Engineer building scalable, high-performance web.
New to Contra
Full Stack Engineer building scalable, high-performance web.
Cover image for Gems.vip (http://Gems.vip) is a full-featured
Gems.vip (http://Gems.vip) is a full-featured crypto launchpad and trading platform I built that gives users exclusive access to high-potential crypto tokens at every stage — from private sales and early raises to established market leaders. The platform has scaled to 2.5M+ users, 4.3K+ community leaders, $200M+ raised via launchpad, and supports 140+ countries. The platform includes a Launchpad for token raises, Gems Trade for token swapping, a Premium membership tier, a Credit Refund system, Staking, and a Blog — all under one unified Web3 experience. Users connect via crypto wallets and interact with smart contracts for staking, trading, and participation in token sales. The UI supports dark/light mode and multi-language, reflecting a global user base. Tech Stack: Node.js · React · Next.js · PostgreSQL · Web3.js / Ethers.js · Smart Contracts (Solidity) · Wallet Connect / MetaMask Integration · Staking Contracts · Token Launchpad Infrastructure · Cloudinary (Media) · Google Tag Manager · REST APIs · Docker · AWS
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Cover image for ChainAware.ai (http://ChainAware.ai) is a Web3
ChainAware.ai (http://ChainAware.ai) is a Web3 Agentic Growth Infrastructure platform I built that combines AI-powered fraud detection, blockchain analytics, and autonomous growth agents for decentralized applications. The platform operates at the intersection of AI and blockchain, providing deep on-chain intelligence across 8 supported chains including Ethereum, Polygon, BNB Smart Chain, and TON. The platform offers a full suite of Web3 tools: a Wallet Auditor for on-chain risk scoring, a Rug Pull Detector for smart contract risk analysis, Token Rank for token credibility scoring, and real-time Transaction Monitoring. On the growth side, it provides ready-made Agentic Growth Agents for DApps, Web3 Behavioral Analytics, a Prediction MCP (Model Context Protocol) layer for AI agents, and a Web3 Portfolio Construction MCP. The platform has processed 20.3M wallet personas, 1.95B behavioral prediction data points, and 336K+ contract addresses — and is incubated by ChainGPT Labs. Tech Stack: Node.js · REST APIs · React · Next.js · PostgreSQL · Blockchain Data Indexing · Web3.js / Ethers.js · Multi-chain Integration (Ethereum, Polygon, BNB, TON) · AI/ML Predictive Models · MCP (Model Context Protocol) · AWS (S3, EC2) · Google Tag Manager · Smart Contract Analysis · Telegram Bot API · Docker
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Cover image for Sovera is a unified fintech
Sovera is a unified fintech platform I built that bridges traditional and digital finance, enabling individuals, businesses, and enterprise partners to hold, convert, spend, and move capital globally. The platform combines regulated crypto custody, virtual bank accounts (US & EU), crypto-to-fiat conversion, high-limit card programs, and multi-signature treasury controls — all through a single seamless experience. It serves three user segments: individuals managing personal wealth, businesses needing team-based treasury and corporate cards, and enterprise partners looking to white-label the infrastructure under their own brand. Sovera integrates with regulated third-party providers — SAFE Trust Company for asset custody (Wyoming Trust Charter), sFOX for crypto trading and liquidity (FinCEN-registered), and PayCaddy for card issuance (Panama-licensed). Tech Stack: Node.js · REST APIs · React · Next.js · PostgreSQL · Blockchain/Web3 Integration · Multi-signature Wallet Logic · RBAC (Role-Based Access Control) · Third-Party Financial API Integrations (Custody, Trading, Cards) · Framer (Marketing Site) · AWS · Docker
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Cover image for It's a cinema seat booking
It's a cinema seat booking backend — think of it like the backend powering a Cinepax or AMC booking system. Users can browse movies, reserve seats, and process bookings. But here's what makes it special — it's not built for just one cinema. Multiple cinema businesses can run on the same system simultaneously. That's the multi-tenancy part.
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Web3.js(1)