Hire the Best Python Numpy Developers
in Ukraine

🔥 𝐈'𝐦 𝐚 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝! 🔥 🛠️ Most developers need a babysitter, an endless Jira board, and three weeks just to wire up a basic script. I don't. I take your requirements, write clean Python, integrate LLMs and AI APIs, build reliable automations, and ship working solutions directly to production. 💬 If you are building AI workflows or automation pipelines from scratch, I will build a resilient architecture that actually scales. If your previous freelancer left behind broken scripts, brittle integrations, or unreadable spaghetti code, that is usually where I come in and fix it. 👉 Drop me a message with what you are building or what is currently broken, and let's get it sorted ════════════════════════════════════════ MY PRODUCTION EXPERIENCE & HIGHLIGHTS ════════════════════════════════════════ 🔹 WEB APPS & SAAS DEVELOPMENT • Deployed 12 production-ready AI automation workflows and client portals from concept to launch in under 6 weeks as a Fullstack Developer using Python • Optimized backend data pipelines for an AI automation platform handling 50K+ daily requests without downtime as a Python Developer • Rebuilt checkout flows and automated order processing on e-commerce platforms to boost completions by 22% as a Developer using Node.js and React • Rebuilt catalog and vendor management systems using Python and JavaScript to increase buyer conversion by 28% as a Fullstack Developer • Automated customer onboarding workflows for subscription platforms, cutting account setup time by 70% as a Software Developer • Restructured legacy backend services into modular APIs, cutting feature release time from 3 weeks to 3 days as a Fullstack Developer 🔹 API & THIRD-PARTY INTEGRATIONS • Integrated Stripe and PayPal payment systems across multiple web apps to stop failed checkouts and recover lost revenue as a Full Stack Developer • Connected external business tools like HubSpot, Salesforce, and Twilio into central Python backends, saving 25+ manual work hours weekly as a Python Developer • Automated legacy data extraction using AI pipelines to feed modern web apps, saving clients $40K+ on complete rebuilds as a Software Developer • Synced inventory and CRM data across multiple stores using Node.js background workers to eliminate overselling as a JavaScript Developer • Tuned slow SQL queries and database indexes to eliminate server freezes under heavy load and cut cloud bills in half as a Python Developer • Automated routine sales and billing workflows by connecting CRMs with payment processors and custom AI scripts as a Software Developer 🔹 DASHBOARDS, PORTALS & INTERNAL TOOLS • Built fast analytics dashboards to replace messy Google Sheets with live metrics, saving 15+ reporting hours weekly as an AI Automation Developer • Rebuilt logistics admin panels with modular UI components, doubling daily order-processing speed per manager as a JavaScript Developer • Automated approval chains and stock updates, letting operations teams handle double the order volume without extra staff as a Full Stack Developer • Built real-time order tracking and customer chat workflows using Node.js to cut support tickets by 40% as a JavaScript Developer • Built internal web portals to automate dispatch paperwork and invoice creation, saving operations teams 15+ hours weekly as a Software Developer • Set up customer self-service portals with AI Automation scripts, cutting repetitive support requests by 45% as a Fullstack Developer 🔹 CODEBASE RESCUE & MODERNIZATION • Fixed critical billing and webhook errors on failing AI automation pipelines abandoned by prior devs, preventing contract losses as an AI Python Developer • Stabilized fragile production codebases and payment integrations to protect recurring revenue without downtime as an AI Automation Developer • Patched security vulnerabilities and bad API auth logic across neglected web apps to prevent data leaks as a Software Developer • Redesigned slow legacy checkout pages using modern JavaScript to eliminate drop-offs caused by UI lag as a Full Stack Developer 🔹 AI WORKFLOWS & DATA AUTOMATION • Integrated OpenAI and Claude APIs into production backends to automate text processing and document analysis as an AI Python Developer • Set up automated alerts and reporting bots in Slack and Telegram to track system events in real time as a Full Stack Developer 🔹 E-COMMERCE & AI AUTOMATION • Built AI customer support agents to handle order queries, tracking, and product FAQs automatically as an AI Automation Developer • Created automated workflows connecting Shopify, CRM, and email using webhooks and REST APIs as a Software Developer • Set up n8n and Python automation pipelines to eliminate repetitive store tasks and sync product data as an AI Automation Developer • Integrated OpenAI APIs with e-commerce backends to automate customer messaging and ticket triage as an AI Python Developer

I am an aspiring AI Engineer and Data Scientist with robust experience in software development and machine learning. Although I have not completed a traditional computer science university degree, my technical proficiency has been honed through hands-on roles as a developer and machine learning engineer, complemented by a successful completion of the prestigious MIT Machine Learning and Data Science course. My strong background in applied mathematics enables me to tackle complex problems effectively. I am a quick learner with a strong passion for developing AI solutions tailored to specific problems. Proficient in Python and skilled in applying analytical techniques to real-world challenges

AI/ML engineer, Python. I build AI features that run in production: self-hosted model serving, retrieval, and the API around them. Two of my own products are live right now, both built solo. ✅ Self-hosted LLM and vision inference: transformers, vLLM, ONNX Runtime, llama.cpp, int8 and 4-bit quantization. Replacing paid API calls with your own GPU or CPU box, with measured latency and cost per request. ✅ RAG and semantic search: BGE-M3 and OpenCLIP embeddings, Qdrant, FAISS, BM25, hybrid retrieval with Reciprocal Rank Fusion, plus a benchmark so quality is measured and not guessed. ✅ AI moderation pipelines: image scoring, Florence-2 captioning and OCR, LLM policy judging, duplicate detection with perceptual hashing and SimHash. ✅ MCP servers and agent tooling: a code RAG server that AI coding agents query over a 3,000-file codebase. ✅ ML: XGBoost with calibrated probabilities, purged cross-validation, honest out-of-sample numbers, PyTorch models exported to ONNX and verified before they ship. ✅ Production: FastAPI, PostgreSQL, Redis, Docker, Prometheus, API keys and rate limiting, CI/CD, Linux, on-demand GPU orchestration that drops inference cost to zero when idle. My two live products: an AI classifieds marketplace where self-hosted models screen every ad before publication, and a paid SaaS that forecasts crypto volatility risk with calibrated, leakage-tested models. Both are in production. Before AI/ML: 10+ years backend and full-stack, PHP 8, Laravel, Vue.js, PostgreSQL, REST APIs, 3,400+ hours on Upwork. That is why my ML work ships as a running service with tests and monitoring instead of a notebook. I still take Laravel and Vue work when it fits. Send me the details and I will tell you straight whether I am the right fit.

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.