Vitalii Bogachev
I build LLM products that run in production, not demos. Since 2024 I have built and operated BookahTranslate, a paid AI document-translation SaaS, and helped product teams adopt RAG, custom MCP servers and AI coding agents. Underneath is 13 years of engineering — high-load fintech and SaaS, plus a QA-automation background — which is why my AI systems ship with evals, regression gates, observability and provider fallback.
Current work
AthenaDev
Embedding Claude Code, custom MCP servers, RAG systems, and AI workflows into mid-size product teams. Fintech, Legal, B2B SaaS.
Open source
Two tools that verify what is usually taken on trust, and three standalone demos extracted from production patterns. All with tests and green CI; the demos run offline.
CI only ever runs the new tests against the new code. pr-witness runs the base branch's tests against the pull request's code, shows each rewritten test with its old and new assertion, checks the PR description's claims ("412 passed") against the real run, and signs the result with GitHub attestations. Evaluated on commits from real Claude Code sessions with the tool frozen and the labels committed first: the cross-run agreed with the label in all 11 runs it completed; the overall verdict in 7 of 12, every miss traced to its cause and fixed in the next release.
Regression checks for small fine-tuned models on tool calling: a byte-level diff of training vs runtime prompts (it measured what a known Ollama bug costs: the tool schema reaches the model as a Go struct dump), a dataset linter with the model's own tokenizer, and tool-call evals base vs tuned vs quantised. Six public datasets surveyed.
Current product
BookahTranslate / AthenaDev
AI-powered document translation SaaS. PDF, EPUB, DOCX up to 300+ pages with layout preservation, powered by GPT-4 and Claude.
Past work
Coperniq
Dec 2022 — NowSaaS for US solar-industry project management. Serves 200+ contractor companies, scaled to 3000+ concurrent users.
Bequant
Jun 2019 — Dec 2022Institutional crypto exchange with proprietary matching engine. Trading terminal handling 10K market events per minute.
Smart Trade (Germany)
Mar 2018 — May 2019SaaS for retail trading automation. Backend on Django + 30 REST endpoints, React drag-and-drop strategy builder.
Open to work
Senior AI Engineer — LLM, RAG, MCP. Remote, based in Tbilisi. Contract, full-time, advisor roles.