Freelance Solidity Engineers in Chicago
Freelance Solidity Engineers in Chicago
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Unnikrishnan R
Thiruvananthapuram, India
Fullstack Developer | Mobile Apps, Web, UI/UX & No-Code Pro
$1k+
Earned
2x
Hired
5.0
Rating
21
Followers
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Fullstack Developer | Mobile Apps, Web, UI/UX & No-Code Pro
0
Uniswap Clone - DEX App(V3)
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19
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CryptoBat - NFT Market Place
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30
1
The Vantage Admin Dashboard is the high-tech engine room keeping the fancy frontend from falling apart. đ ď¸ I built it to be the ultimate luxury control center, featuring real-time performance charts that look better than my actual bank account (no cap) đ⨠and a product management system so smooth itâs practically illegal. đ¸ Itâs a full-stack masterclass in Next.js and Supabase that handles inventory, visitors, and data validation without even breaking a sweat. đ¤ All the power, none of the drama. âĄđ
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Vantage â A premium watch store thatâs basically just a full-stack flex. đ°ď¸ I built this to prove I can make a UI look more expensive than the watches it sells. It uses Next.js and Supabase to handle the heavy lifting, GSAP to make the scrolling glide like a Swiss movement, and Zustand to keep the cart from having a mid-life crisis. I even gated the checkout behind a login because if you aren't part of the club, you don't get the drip. The Goods: Next.js, Supabase, GSAP, Zustand, Paddle. Consider this my digital mic drop. If you want your next project to look this expensive without actually costing a kidney, you know where to find me. đĽ
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2
151
Solidity Engineer
(2)
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Robert Spadinger
Paris, France
Solidity smart contract developer and auditor.
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Solidity smart contract developer and auditor.
0
Smart Contract Audit for Vultisig
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8
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Arbitrage Trading Bot
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7
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Solidity Smart Contract Development Course
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5
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EventChain - Event Management DApp
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1
Solidity Engineer
(5)
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Max Matronin
Iceland
đ´Upwork Top Rated Plus AI Devđ´
$1k+
Earned
3x
Hired
24
Followers
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đ´Upwork Top Rated Plus AI Devđ´
0
Decentralized Lottery on Blockchain (Web3 Project)
0
17
1
PropIQ - AI-Powered Property Management
1
13
1
AI Receptionist + AI Digital Clone of Ben
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5
1
Models Classification with AI
1
4
Solidity Engineer
(1)
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Hritwik Tripathi
pro
Delhi, India
AI Automation | Full-Stack Dev | Web3 | 8Ă đ Hackathon
5.0
Rating
27
Followers
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AI Automation | Full-Stack Dev | Web3 | 8Ă đ Hackathon
1
Smart Contract Audit: Protecting $35M TVL from Slippage Losses
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7
1
SnipeMe Clipping Tool Development
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1
1
PPD Calculator
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9
2
HIE Agency Website Development
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8
Solidity Engineer
(1)
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Joseph I
pro
Worcester, UK
Full-stack developer - Next.js, Node.js, and AI Integration.
5.0
Rating
13
Followers
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Full-stack developer - Next.js, Node.js, and AI Integration.
1
DreamRanks lauched about 24 hours ago and since then we've onboarded close to a 100 users, 22 coaches and 20 orders without glitches and we are ready to scale up The team is working hard to acheive a 1000 paying users in the next month The coach has the option of setting their profile details, pictures, bank details and availability so that no one can book them when they are unavailable I have integrated 3 payment methods right here: we have Paypal, Credit card, and Klarna and when the coaching session is done the coach has a button to confirm that the session is done and the user as well then we automatically process the payments via Stripe into the Coach's account. https://www.dreamranks.de/ #webflow #xano #wized #react #nextjs #firebase #backend #frontend #fullstack #realtime #chat #software #webapp #fonder #startup
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If Coca-Cola reached out for rebranding
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57
1
Addictive animated website for a car brand
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65
6
Addictive cinematic animated website
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6
177
Solidity Engineer
(1)
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Vinod Kalathiya
pro
Surat, India
I build mobile apps and web platforms from idea to launch
5.0
Rating
5
Followers
Expert
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I build mobile apps and web platforms from idea to launch
0
Kprecio â Local Services Marketplace App
0
4
2
đ Make your ideas real with Figma Make Startup founders can turn raw ideas into real, testable designs in minutes. With Figma Make, you can build screens, map user flows,create prototypes, and validate concepts fast â even without design skills. It helps you collaborate in real time and present pitch-ready demos that bring your vision to life. If you want help turning your idea into a clear prototype or MVP, feel free to reach out. đ Contact me on Contra: https://contra.com/vinodkalathiya
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Adpost an advertising Posting Platform
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6
0
Never Plan Another Meal or Workout AgainNever Plan Another MealâŚ
0
17
Solidity Engineer
(1)
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Ĺ tefan Bohumel
Olomouc, Czechia
Python AI Dev | ComfyUI, LoRA/LLM Training, Web3, Web API
$1k+
Earned
14
Followers
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Python AI Dev | ComfyUI, LoRA/LLM Training, Web3, Web API
1
Mantle Agentic Treasury Manager (ATM) Autonomous AI-driven DeFi portfolio management on the Mantle Network Mantle ATM is a fully autonomous, on-chain AI treasury manager deployed on Mantle Sepolia. It leverages Llama 3.3 70B (via Groq and LangChain) to continuously analyze yield opportunities across the Mantle ecosystem â specifically mETH (Mantle Liquid Staking) and USDY (Ondo RWA yield) â and autonomously executes reallocation transactions on-chain to maximize yield while enforcing strict on-chain security guardrails. The Innovation: Circular Agentic Economy What makes Mantle ATM unique is its self-sustaining circular tokenomics loop: The Roast Chamber: Users pay a micro-fee of 2 MNT in an on-chain transaction. The Product: Llama 3.3 scans the user's wallet holdings and generates a brutally hilarious AI Roast (or glowing Toast) that they can immediately share on X (Twitter). Closing the Loop: The collected MNT fees are deposited directly into the treasury gas reservoir. The autonomous AI Agent uses these funds to pay gas for its scheduled hourly rebalancing crons, ensuring the agent runs forever without needing manual developer refills. Key Features Deployed Mantle Ecosystem Live Ticker A continuous, marquee-style scrolling ticker running directly beneath the navbar. Powered by a keyless CoinGecko Live API fetch (MNT, mETH, USDY, USDC) with local cached fail-safes. Premium Interactive Charting (Alpha Delta) Rich technical APY charts showing projections, horizontal gridlines, extrema markers, and teal area gradient fill under the curve. Features custom hover crosshairs and floating tooltipsdisplaying Time, APY, Volume, and Reward attribution. Includes a DeFi metrics dashboard (TVL, Utilization, Collateral Ratio, LP Summary, and Volatility). Dedicated Portfolio Hub (/portfolio) An isolated sub-route providing a deep On-Chain Wallet Scanner that lists connected wallet balances (USDC, USDY, mETH, MNT) on Mantle Sepolia. Features a Yield Allocation Optimizer advising on asset distributions. Smart Money Whale Scanner Tracking and interpreting major Mantle Network "whale" addresses (Treasuries, high yield stakers, arbitrage nodes) via Llama 3.3. đĽ AI CFO Roast & Toast Chamber Gamified Web3 on-chain utility that lets users burn 2 MNT to unlock AI roasts of their wallet assets. Technical Stack & Architecture Frontend: Next.js 15, React 19, TypeScript, Tailwind CSS, Framer Motion Web3 Layer: RainbowKit, Wagmi, Viem (direct JSON-RPC node reads) Backend API: Flask (Python 3.10) hosted on Vercel Serverless Functions AI Brain: LangChain, Groq API, Llama 3.3 70b Model Smart Contracts: Solidity 0.8.x, compiled and deployed via Foundry Automation & Alerts: Vercel Cron Jobs, Discord Webhooks Strict On-Chain Security Guardrails The AI agent cannot move funds to arbitrary addresses. Our verified smart contracts enforce: Token Whitelist: Only native USDC, USDY, and mETH can be reallocated. Access Control: Only the designated AI Agent wallet can call reallocate(). Amount Cap: Max 500,000 USDC reallocated per autonomous cycle to prevent slippage. No Withdrawal: Funds stay in TreasuryManager contract at all times.
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RECLAIM - Gamified Eco-Volunteering Working Prototype The Problem Traditional eco-volunteering often lacks engagement, making it difficult to motivate individuals, especially the younger generation, to participate consistently. The process of reporting and verifying cleaned areas is manual, inefficient, and untrusted. The Solution: RECLAIM RECLAIM transforms eco-volunteering into a real-life RPG, making healing the planet fun, competitive, and highly rewarding. Users create an account, secure it via Supabase email authentication, and select their unique 3D Eco-Spirit avatar. The core innovation is our automated verification loop: Users find cleanup missions on a real-time map. They complete the mission and take an "after" photo. We integrated Gemini AI to perform a strict direct comparison between the "before" task image and the new "after" photo. There are no bypassesâGemini AI decides if the location is pristine. Upon AI verification, the Supabase backend awards XP and unlocks premium 3D badges. The Advanced Figma AI Workflow This project serves as a showcase for the advanced capabilities of Figma's new AI toolkit: ⢠Figma Agent was used to generate and iterate upon the entire multi-screen design flow, strictly adhering to our premium 'Eco-Glassmorphism' style. ⢠Figma Weave generated all procedural 3D visual assets, including Eco-Spirit companions and collectible badges. ⢠Figma MCP was utilized to integrate live, data-driven satellite maps directly into the dashboards. ⢠Figma Make exported the completed design into a functional Next.js/React application, making it a working prototype. Live Links Working App: https://path-os-41270623.figma.site Figma Community File: https://www.figma.com/community/file/1648087862770865252 (https://www.figma.com/community/file/1648087862770865252)Pitch Video: https://youtu.be/skytzF6qljY Technology Stack ⢠Frontend: Next.js (exported via Figma Make), React, Tailwind CSS ⢠Design: Figma (Agent, Weave, MCP) ⢠Backend: Supabase (Auth & Database) ⢠Verification: Gemini AI (Visual Comparison)
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While most participants naturally lean towards building standard web apps or generic startup dashboardsâconcepts the industry is already highly familiar withâI decided to bring the theme 'Interfaces that feel alive' to a space that is notoriously static, flat, and outdated: the professional resume. I built 'The Living Portfolio,' a next-generation interactive CV tailored for a hybrid Web3, AI, and Security Engineer. By breaking away from traditional dead PDFs, this interface uses premium dark glassmorphism, tactical micro-interactions, and responsive canvas layers to transform a career summary into a breathing, high-fidelity digital identity that actively engages the user. I utilized Google Stitch as the core engine for establishing the initial responsive layout and grid structure. From there, I transitioned into an iterative process using in-place edits to inject custom CSS motion properties, technical typography, and interactive button states. Finally, despite heavy platform limitations regarding multi-page structures, I successfully leveraged Stitch's export capabilities to deploy the compiled pages directly onto Netlify, achieving a fully functional and publicly accessible live prototype. While the core concept of Google Stitch is highly innovative and the visual potential of the canvas is impressive, the developer interaction with the AI agent was a deeply frustrating experience filled with friction. During the detailing phase, the agent consistently suffered from severe context drift. It repeatedly violated explicit constraintsâsuch as generating entirely new layout windows instead of modifying existing components in-place as instructed. Furthermore, it frequently erased pre-existing text data and wiped out working elements during subsequent prompts. It felt as though the agent is programmed to over-generate new code overzealously rather than respecting precise, incremental boundaries. While I see the immense value in Stitch as a builder, managing the agent for high-fidelity UI work currently requires an exhausting amount of backtracking to fix forgotten or deleted elements. P.S. I'm honestly not 100% satisfied with the final result, but iterating with the agent is a never-ending loopâwith every new edit, something else kept getting lost or forgotten :-D. So, I'm submitting it as is and going to chill. https://stitch.withgoogle.com/projects/4307425184075552527 https://stefan-bohumel-resume.netlify.app/ https://github.com/Ra9mirez11/stitch-projekt
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Title: The Graphic Novel Syndicate: A Fully Automated 60-Page Production Pipeline Project Link: [https://app.melius.com/projects/c95de835-b21e-42cb-b77b-d11344bb6a92/canvas/feccc0eb-d8d4-4196-8dfd-21ee38fe6af0 ] Video Walkthrough: [https://youtu.be/lN5iBnjXkAw] Project Description: Most creators use generative AI to create isolated images or short videos. I wanted to push Melius to its absolute architectural limits by building a fully automated, scalable production pipeline designed to generate a cohesive 60-page noir graphic novel. I successfully rendered 18 complete pages (over 100 panels) end-to-end, but I eventually hit the hard limits of both the UI performance (severe lagging) and my credit balance. However, the engine architecture itself is fully functional, proven, and ready to scale. It is not just a comic; it is a workflow-native engine designed for continuous storytelling. Process Overview & Architecture (What I Used): To achieve absolute consistency without the system hallucinating or losing the plot, I structured the Melius canvas like a software backend, utilizing multiple node types: Phase 1: The Master Brain (World Building LLM) I started with a primary LLM node acting as the "Showrunner." Given a single seed sentence, it generated a comprehensive "Story Bible," locking in the overarching plot, environmental aesthetics, and strict character design rules. Phase 2: The Logic Parsers (Workflow Routing LLMs) To prevent data overload, the output from the Master Brain is fed into secondary, specialized AI Text Nodes. These act as logical routers. They parse the master script and isolate exact prompts for specific panels, ensuring each downstream image node receives only the precise data it needs. Phase 3: The Render Array (Parallel Text-to-Image) The parsed prompts are fed simultaneously into a battery of Image Generation nodes (Flux/Grok). This parallel array generates the raw pages (6 panels at a time) maintaining the high-contrast noir aesthetic dictated by the Master Brain. Phase 4: The Cinematic Climax (Start/End Frame Video & Audio) To fulfill the ">1 node type" requirement and add a massive "wow" factor, the final panels of key scenes are routed into Image-to-Video and Audio (ElevenLabs) nodes. By feeding Panel A (Start Frame) and Panel B (End Frame) into the video model, the engine creates hyper-smooth, logical cinematic transitions for the story's climax, complemented by epic sound design. Extensiveness of Agent Use: The Melius Agent was my co-architect throughout this build. I utilized the Agent to help design the logical flow of the parsing nodes. When dealing with the massive data flow from the Master LLM to the 6-panel Render Array, the Agent helped structure the prompt extraction logic, ensuring the "spaghetti wiring" remained functional and the data routed correctly to the visual generators. Feedback on Experience Using Melius: The Highlights & UI Experience: This is arguably the first AI agent I've encountered capable of genuinely grasping complex, high-level structural requests. While I am highly accustomed to the deep technicality of complex node-based tools like ComfyUI, Melius offers a brilliant contrast: the visual canvas is incredibly clean and accessible. The ability to visually orchestrate AI collaboration is phenomenal. Areas for Improvement (Stress-Test Feedback): Because I pushed the platform to its limits with this massive pipeline, I found a few severe bottlenecks: Credit Exhaustion from Deep R&D: My ultimate goal was to finalize the entire 60-page project to the highest possible polish, but I hit hard credit limitations after rendering 18 pages. I burned through a massive portion of my credits purely on R&Dâextensively testing different model outputs, probing the Agent's comprehension limits, and figuring out exactly how far and how deep I could push the node architecture before it broke. Performance & Batch Errors: The web app currently struggles under heavy production loads. By the time I reached 18 pages, I experienced choppy canvas navigation and frequent errors when queuing multiple generation batches. Wiring Logic at Scale: In massive multi-node networks, the Agent occasionally lost track of correct connections. It would claim everything was wired perfectly, but upon explicit prompting to double-check its work, it would discover its own routing errors. Pre-Run Cost Estimator: A massive UX improvement for power users would be implementing a built-in UI feature that analytically calculates the exact credit cost of the entire node tree before hitting "Generate," rather than relying on the Agent's estimates. Custom LoRAs: Adding support for custom LoRAs would be the ultimate upgrade for maintaining absolute character consistency in sequential art pipelines like this one.
12
44
2.7K
Solidity Engineer
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Guillaume Derivery
Paris, France
CTO / Fullstack dev / CPO. On Scope, on Time, on Budget.
5.0
Rating
8
Followers
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CTO / Fullstack dev / CPO. On Scope, on Time, on Budget.
1
Cultivate Minting Platform
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4
1
Lawpair Fullstack Platform
1
7
1
Chivy App & Platform Redevelopment
1
10
1
Pety Fullstack Insurtech Platform
1
7
Solidity Engineer
(1)
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