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MaksymKhabenko

Engineering autonomous AI systems that replace manual operations at scale. Multi-agent orchestration, LLM tool-use pipelines, and production infrastructure designed to close the loop between business intent and execution without human bottlenecks.

Full-cycle solo delivery: AI Engineering · Backend · Frontend · Business Logic · DevOps.

Stack
TypeScript·Python·Next.js·React·Node.js·Aiogram·Three.js·TypeScript·Python·Next.js·React·Node.js·Aiogram·Three.js·TypeScript·Python·Next.js·React·Node.js·Aiogram·Three.js·
Infra
Supabase·Docker·Vercel·DigitalOcean·Resend·Cloudflare·GitHub Actions·Google Workspace·n8n·PostgreSQL·Vector DB·Supabase·Docker·Vercel·DigitalOcean·Resend·Cloudflare·GitHub Actions·Google Workspace·n8n·PostgreSQL·Vector DB·Supabase·Docker·Vercel·DigitalOcean·Resend·Cloudflare·GitHub Actions·Google Workspace·n8n·PostgreSQL·Vector DB·
AI tooling
Claude Code·Anthropic SDK·OpenAI·LangChain·LangGraph·MCP·Cursor·Firecrawl·Tavily·Jina Search·Perplexity·Claude Code·Anthropic SDK·OpenAI·LangChain·LangGraph·MCP·Cursor·Firecrawl·Tavily·Jina Search·Perplexity·Claude Code·Anthropic SDK·OpenAI·LangChain·LangGraph·MCP·Cursor·Firecrawl·Tavily·Jina Search·Perplexity·
Maksym Khabenko
AI engineer · full-stackPortfolio

About

My core focus is AI engineering: multi-agent systems, tool-use pipelines, harnesses, evals and benchmarks. Where API access falls short, fine-tuning and training custom models for the task. Computer vision is a standing interest of its own: VLMs, detection and tracking, real-time inference.

Along the way I build tools for the work itself: custom SDKs, MCP servers, agent infrastructure. Full cycle in one pair of hands: architecture, backend, frontend, deployment.

I work mostly with European companies. Compliance and careful data handling by default.

Over the past year I shipped six production systems: lease abstraction for commercial real estate, autonomous e-commerce support, crypto payments with compliance, cross-border recruiting, immigration law, construction tendering. A new domain every time. The same method.

What counts as a breakthrough at the start of the year is legacy by the end of it. Half of my stack didn't exist a year ago, and half of today's won't survive the next. Holding on to tools here costs more than learning new ones. The one thing I invest in seriously: how fast I rebuild my own process.

Let's talk