Daniil Makeev

Senior AI Engineer · LLM Engineer

I build and ship AI agents and RAG systems end to end.

Open to full-time or contract · remote · relocation
CV

Senior AI / LLM engineer · 5 years in software

Yerevan, Armenia (UTC+4) · available immediately · remote contract (B2B) or relocation · EAEU work authorization · English B2

Production LLM systems: agents, RAG, evals and the resilience layer around non-deterministic AI providers. Led a video generation pipeline to 6× faster output at 60% lower cost.

hao.vcJan 2025 – present

Senior Applied AI Engineer / Tech Lead

Product AI lab running several products in parallel.

  • Architected the end-to-end multimodal video pipeline and owned AI provider selection (OpenAI, ElevenLabs, Google Imagen) and the monthly provider API budget: latency 6× (~60 → ~10 min), cost −60% ($2.00 → $0.80 per video), 800K+ organic views.
  • Built the resilience layer around non-deterministic providers: retries with backoff, fallback routing, media validation and auto-repair of malformed structured outputs with Pydantic v2; 200+ automated tests.
  • Owned the AI video-generation pipeline end-to-end, driving the engineering side of a ~6-person cross-functional product team (AI, infrastructure, content, growth).
  • Delivered a B2B EdTech project through the lab: an interview-scheduling Telegram Mini App on FastAPI and PostgreSQL with CI/CD, used by ~700 students.
  • Applied R&D at hao.vc, open-sourced (Browd, NetWho) — agentic patterns and architecture I carried into the production pipeline; production code stays under NDA.
Zenit-ElectroJun 2023 – Dec 2024

Backend / Applied AI Engineer

Metrological equipment supply and engineering.

  • Python / SQL ETL pipelines for catalog automation and data validation, saving ~8–12 manual hours a week.
  • Designed and built a prototype of a local LLM assistant for internal search across the product catalog and measurement documentation (RAG, structured outputs).
EPAM SystemsOct 2021 – Jun 2023

Software Engineer (Backend)

Intern / Junior Python Engineer → Middle Backend Engineer. Enterprise e-commerce and fintech, distributed teams of 10–15.

  • High-concurrency REST microservices on FastAPI, PostgreSQL and asyncio.
  • Async data processing and integrations: fiscalization services, retries, transaction cancellation.
  • Classical NLP (spaCy, transformers / BERT) for entity extraction in enterprise documents.
BMSTUEducation

BSc Computer Engineering / Computer Systems

About

I'm an AI / LLM engineer based in Yerevan, Armenia, with five years in software engineering — open to remote or relocation across EU/US timezones.

I've been at hao.vc, a Product AI lab, working across production delivery and applied R&D, where I led a video pipeline to 6× faster output at 60% lower cost. Below are selected systems I've built and maintained across production delivery, applied R&D and open-source engineering — an open-source browser agent, a multi-tenant contact RAG, a personalized news digest. Before hao.vc: backend and applied-AI engineering at EPAM and Zenit-Electro.

Projects
Browd — browser-resident AI agent

A Chrome side-panel agent that runs multi-step tasks inside your real browser session — no headless cloud, no credential copy-paste. LangGraph.js plan-and-execute with per-tool state budgets, tab isolation, prompt-injection guards on every third-party text source.

Live on the Chrome Web Store · open-source, Apache-2.0

TypeScriptLangGraph.jsLangChain.jsMV3 service workerpuppeteer-coreReact
Install GitHub
NetWho — multi-tenant contact RAG

An AI assistant for personal and organizational networks. Multi-tenant with per-tenant RLS isolation, semantic search over embeddings, news parsing, and a reranking loop that grounds answers in source records.

Live on Telegram — you can message it yourself

RAGpgvectorrerankingaiogramSupabase
Try on Telegram GitHub
Digest Bot — personalized news digest

Reads your channels — fetching the article behind link-only posts — and writes one summary tuned to your focus. A deterministic pipeline produces the daily digest; a separate stateful chat agent (LangGraph, checkpointed to Supabase) answers follow-ups.

Live · running daily

LangGraphSupabase checkpointerOpenRouterPTBDocker
GitHub
Skills
AI / MLRAG · Vector search · Reranking · Grounded generation · Structured outputs · LLM deduplication
FrameworksFastAPI · LangGraph · LangChain · PydanticAI · aiogram · python-telegram-bot · deepagents
DataPostgreSQL · Supabase · pgvector · Pydantic v2 · AsyncIO · httpx
PlatformsOpenRouter · OpenAI · ElevenLabs · Jina AI · S3 (boto3)
DevOpsDocker · docker-compose · GitHub Actions · uv · Linux
LanguagesPython · SQL · TypeScript · English B2 · Russian native

Every system here is live and still running. If that's the kind of engineer your team is missing, message me on Telegram (or email).