Oleksandr T.

I build production-ready SaaS, sports betting, and trading systems with real-time data, complex API integrations, and automation. With 5+ years of full-stack experience and a PhD in Computer Science, I can take a product from architecture to AWS deployment. Clients usually come to me when they need to replace a limited no-code solution, process live data, integrate multiple external services, automate complex workflows, or stabilize an existing product. SELECTED PROJECTS 1) Real-time sports analytics platform Rebuilt a slow and expensive Bubble-based product using React, Node.js, Python, and a scalable event-driven AWS architecture. The new system supports pre-match odds updates every 5 minutes and live odds and scores every 15 seconds. I also replaced a costly AppSync Event API setup with an ALB and dedicated EC2 WebSocket hub, preserving low-latency delivery while optimizing infrastructure costs. 2) AI-powered web data extraction Built a platform for processing dynamic and protected websites, extracting relevant article content without headers, footers, navigation, or unrelated elements. The system combines browser automation, anti-bot handling, content normalization, LLM-based processing, and structured Excel/CSV exports. 3) Betting and trading automation Developed an automated Kalshi RFQ market-making system with sportsbook integrations, market mapping, pricing logic, risk controls, monitoring, and execution within a 3-second confirmation window. I have also built Forex risk-management tools, betting analytics systems, arbitrage scanners, and automated trading workflows. HOW I CAN HELP - Build a SaaS product or MVP from architecture to production - Develop Python, FastAPI, Node.js, and Next.js applications - Build real-time systems using WebSockets, caching, queues, and background workers - Integrate sportsbooks, Stripe, AI services, and third-party APIs - Develop web scraping, browser automation, and data pipelines - Migrate products from Bubble or other no-code platforms - Audit, stabilize, and optimize existing applications - Deploy and scale applications on AWS CORE STACK Frontend: React, Next.js, TypeScript, Redux, Tailwind CSS Backend: Python, FastAPI, Node.js, Express, NestJS Databases: PostgreSQL, MongoDB, Redis, DynamoDB Cloud: AWS, Docker, CI/CD, Nginx AI: OpenAI, Claude, Gemini, RAG, PyTorch Integrations: WebSockets, Stripe, sportsbook APIs, blockchain wallets I focus on practical, reliable systems rather than prototypes. Send me a brief description of your product, current stack, and main technical challenge, and I’ll help determine the most effective implementation path.