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Pavlo Krasnytsia's avatar
Pavlo Krasnytsia
Lviv, 79000
Tech Leader | AI, Blockchain & Technology Architect
7
Followers
Tech Leader | AI, Blockchain & Technology Architect
Cover image for Built a secure key management
Built a secure key management and programmable policy platform for Web3 infrastructure, enabling teams to enforce transaction rules, automate approval logic, and protect sensitive signing workflows using hardware-backed controls. This project signals senior-level expertise in security architecture, backend systems, and blockchain operations.
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191
Cover image for Developed a real-time on-chain threat
Developed a real-time on-chain threat detection platform that monitors smart contracts, wallets, governance actions, and protocol activity to surface emerging attacks before damage occurs. This project demonstrates strong blockchain security engineering, alerting architecture, and production-grade risk monitoring at scale.
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136
Cover image for Botpress | The Complete AI Agent Platform
Botpress | The Complete AI Agent Platform
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8
Cover image for Developed a risk intelligence and
Developed a risk intelligence and simulation platform for DeFi protocols that helps teams model exposure, optimize parameters, monitor solvency, and respond to market stress in real time. The project demonstrates advanced quantitative systems thinking, protocol analytics, and robust dashboard-driven product engineering.
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179
Fullstack Engineer(9)
Security Engineer(2)
Systems Engineer(1)
ML Engineer(1)
Raymond Asogwa's avatar
Raymond Asogwa
proCyprus
Ship your SaaS MVP in weeks - web, mobile, payments.
$25k+
Earned
14x
Hired
4.9
Rating
97
Followers
BOLT_EXPERT

Expert

BOLT_MENTOR_EXPERT

Mentor

+1
Ship your SaaS MVP in weeks - web, mobile, payments.
Cover image for Unexposed – The Document Vault That Can't See Your Documents
Unexposed – The Document Vault That Can't See Your Documents
0
25
Cover image for Togethr – Turn Community Voice into Product Momentum
Togethr – Turn Community Voice into Product Momentum
0
134
Cover image for Casework - A Cyber security
Casework - A Cyber security case management system for triaging security alerts across enterprise systems.
0
67
Cover image for Introducing Realm - Your *full-stack
Introducing Realm - Your *full-stack Saas Template* for launching your next software product in a day. Available on Contra: Check it out (https://contra.com/products/c7HPzB4W-realm-convex-tan-stack-saa-s-starter) Realm gives you all the plumbing you need so you can focus on your core product feature. It comes with: ✅ Better-auth - Authentication with Org, Member, Roles, Permissions and Invitation. ✅ Convex - Real-time backend with database, file storage . ✅ Stripe and Polar - Payment with lifecycle management for subscription - Choose your preference. ✅ Autosend - Transactional and Marketing email with email templates and webhook setup. ✅ S3 Seam - File storage for private or public file upload to any S3 storage provider of choice - S3, R2, Tigris, etc. ✅ Tanstack Start - Modern web framework - Optimized for Speed, SEO and perfomance. ✅ Dinachi UI - Prebuilt 40+ accessible React UI Component. Live demo at: https://dub.sh/realm-launch
9
10
383
Fullstack Engineer(7)
Security Engineer(1)
UX Engineer(1)
Ali Shan's avatar
Ali Shan
proLondon, UK
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
$25k+
Earned
5x
Hired
5.0
Rating
78
Followers
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
Cover image for Full Stack Web App Build
Full Stack Web App Build
2
37
Cover image for Perfecto.
Perfecto.
1
169
Cover image for Landing page for an ai
Landing page for an ai company.
1
5
571
Cover image for Payment and Backend Architecture
Payment and Backend Architecture
0
21
Fullstack Engineer(12)
ML Engineer(2)
Systems Engineer(1)
Hritwik Tripathi's avatar
Hritwik Tripathi
proDelhi, India
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
5.0
Rating
31
Followers
AI Automation | Full-Stack Dev | Web3 | 8× 🏆 Hackathon
Cover image for Vega – Blockchain Data Visualization
Vega – Blockchain Data Visualization
1
6
Cover image for 🏆 ETHCC hackathon Winner - Toast
🏆 ETHCC hackathon Winner - Toast
1
6
Cover image for 🏆 Sahyogi - (Hack-a-Solution Hackathon Winner)
🏆 Sahyogi - (Hack-a-Solution Hackathon Winner)
1
5
Cover image for SnipeMe Clipping Tool Development
SnipeMe Clipping Tool Development
1
4
Fullstack Engineer(9)
UX Engineer(3)
Security Engineer(1)
Yurii Lysyshak's avatar
Yurii Lysyshak
proWarsaw, Poland
CEO at LYQX | Mobile Development & UX UI Design
76
Followers
CEO at LYQX | Mobile Development & UX UI Design
Cover image for Ditch the messy notebooks and
Ditch the messy notebooks and endless scheduling chaos holding your salon back. Handling appointments, staff timetables, and monthly profits manually wastes hours that belong to your clients. Alvi Beauty handles studio administration through one organized digital dashboard. • View daily sessions instantly to prevent double-booking mistakes. • Update worker availability and block off specific hours smoothly. • Separate income from expenses for real-time accounting tracking. • Monitor customer history and review feedback to improve quality. Automating routine booking tasks gives you an instant picture of business health. Make data-driven choices regarding bonuses while providing a highly personalized experience for every guest.
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648
Cover image for Salon Management Platform | Beauty Tech | SaaS | UX/UI Design
Salon Management Platform | Beauty Tech | SaaS | UX/UI Design
9
11
Cover image for Imagine finishing complex projects in
Imagine finishing complex projects in minutes. Picture effortless graphic design and automated file analysis. Our virtual companion listens to spoken commands, scans PDFs, and builds logos. Keep vital dialogues neat with easy pins. Everything you need for efficient work lives within IntellicaAI.
5
254
Cover image for AI Assistant App: Chat, Image & Document Analysis | Mobile
AI Assistant App: Chat, Image & Document Analysis | Mobile
2
7
Platform Engineer(2)
ML Engineer(2)
UX Engineer(1)
Russell Williamson's avatar
Russell Williamson
proLittle Rock, USA
Business Systems Architect | RVW Systems
1x
Hired
5.0
Rating
7
Followers
Business Systems Architect | RVW Systems
Cover image for Building Tether — From Noisy
Building Tether — From Noisy Telemetry to Deterministic Operations Role: Lead Architect & Full-Stack Developer Tech Stack: React, Cloudflare (Pages, Workers, R2, Zero Trust), Google Cloud Platform (Cloud Run, Cloud Storage), Python, FastAPI, Scikit-Learn. The Challenge: The Hospitality Data Gap Modern hospitality operators are drowning in data but starving for actionable intelligence. A restaurant's two most critical systems—the Point of Sale (revenue) and the scheduling platform (labor)—operate in complete isolation. Because these systems do not dynamically communicate, managers are forced to make high-stakes labor cuts on the fly based on delayed reporting and gut feeling. This disconnect results in thousands of dollars of weekly margin bleed. The challenge was clear: build a system that bridges these fragmented APIs, normalizes the data, and provides real-time operational certainty. The Solution & The Product Pivot I engineered Tether to be an AI-native operational layer for restaurant management. However, the true breakthrough of this project wasn't just technical—it was architectural. Initially, I designed Tether as a "Live Data Prediction Tool" that used active telemetry to drive real-time floor decisions. Through testing and auditing the data streams, I identified a critical UX flaw: live data is inherently noisy and reactive. To solve this, I executed a complete priority inversion, refactoring the application state to a "Schedule-First" philosophy. Instead of chasing live data, Tether now ingests historical data to generate a deterministic, highly optimized 14-day schedule baseline. The machine learning models were strategically demoted from "decision makers" to "real-time guardrails." Once the floor opens, Tether acts as a safety net, validating execution against the baseline and alerting managers to profit leaks before they compound. Technical Execution: A Masterclass in Edge ML To ensure security, scale, and sub-100ms latency, I architected Tether as a zero-backend Single Page Application (SPA) driven by serverless microservices. Edge Infrastructure & Security: The frontend is deployed via Cloudflare Pages and secured behind a Cloudflare Zero Trust perimeter, requiring One-Time PIN (OTP) authentication for operator access. Data Normalization: I developed Cloudflare Worker proxies to securely handle OAuth handshakes, ingest data from POS systems (Square, Toast) and labor platforms (7shifts), and normalize the varied streams into a unified, sanitized client schema. Autonomous ML Pipeline: I engineered a fully autonomous, serverless retraining loop hosted on Google Cloud Run. Every Tuesday at 3:00 AM UTC, the pipeline wakes up, pulls historical telemetry from Cloudflare R2, and retrains the primary Approval and Labor-to-Sales (LTS) models (using Ridge and Logistic Regression). Strict Data Contracts: The ML pipeline strictly enforces a 63-feature data contract. It validates baseline accuracy and ensures zero NaNs before allowing any model to pass into production, guaranteeing operational stability. Highly Optimized Model Distribution: Fresh model weights are served to the browser via a Dockerized FastAPI microservice (kept aggressively lean at ~500MB) and distributed globally through Google Cloud Storage (GCS). The Business Impact Tether replaces the anxiety of restaurant management with mathematical certainty. By automating the schedule generation and monitoring real-time Labor-to-Sales (LTS) velocity, Tether catches margin bleed live—such as a sudden drop in patio sales pace due to weather. It translates complex ML predictions into simple, actionable alerts (e.g., "Trim one support role. Protects $190 margin."). The result is protected daily profit margins, guaranteed labor compliance, and management teams empowered to run their floors with absolute confidence.
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86
Cover image for AI Guest-Flow Intelligence System Design
AI Guest-Flow Intelligence System Design
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2
Cover image for A roofing company was spending
A roofing company was spending $70,000 a year on a 4-person manual inventory and procurement operation. I replaced it with a zero-touch pipeline. No human data entry. No spreadsheet handoffs. No "did we order that?" Slack messages at 9pm. The system runs on Airtable, Python, and OpenAI. It took 3 weeks to build. It paid for itself in the first month. Here's what I've learned after 20+ years of operations work and building these systems across hospitality, e-commerce, SaaS, and construction: The expensive problem is almost never the one you think it is. It's not the software. It's the 6 spreadsheets nobody wants to touch. It's the workaround that became company policy. It's the process that only works because one person memorized it. I build systems that replace all of that: the CRM, the automation, the AI agents, the dashboards, the content pipelines. One architect, one connected system, everything built to work together from day one. Recent builds: Recovered 20 hours/week for a multi-venue hospitality operation Unified 5 e-commerce storefronts into one automated command center Built an AI system that replaced 8 improv actors per venue per night (yes, really) Turned a hiring round into a one-button AI content pipeline What's the one manual process in your business that you know is costing you the most time, but you haven't fixed yet? #BusinessAutomation #AI #Operations #SystemsArchitecture #Airtable #Python #WorkflowAutomation #NoCode #ECommerce +1
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153
Cover image for Building an AI-powered affiliate
Building an AI-powered affiliate publishing engine from the ground up. I am currently working on a full automation system for NodeRidge, designed to turn product and software research into structured, review-ready WordPress content with human approval built into the workflow. The goal is simple: remove the repetitive work from affiliate publishing while keeping quality control, visibility, and editorial review in place. This build connects: 🗄️Airtable as the central operations hub ⚡Make.com (http://Make.com) for workflow automation 🧠OpenAI for content generation 📝WordPress for draft publishing 📊Google Search Console for rank and performance tracking What I like most about this project is that it is not just "AI writing content." It is a real backend publishing engine with structured data, review gates, sync monitoring, and operational visibility. The system is already handling prompt runs, WordPress draft syncing, affiliate link registry logic, and QA tracking. My next focus is scaling the Airtable architecture to handle higher volume. This is the kind of build I enjoy most: connecting messy manual workflows into a clean system that can actually scale. What are the biggest operational bottlenecks you're currently dealing with in your own workflows?
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221
Systems Engineer(5)
Fullstack Engineer(1)
Security Engineer(1)