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lunochkin/README.md

Maksim Lunochkin

Tech Lead — backend & AI engineering. 10+ years building distributed, event-driven systems; currently going deep on LLM agents and RAG.

Day-to-day I'm the TechFabric-side tech lead on a high-traffic AWS platform for US endurance-sports events: a 300+ Lambda / 80+ SQS serverless stack and a growing set of Kubernetes services, with Temporal-based workflows. I set the backend quality bar across our 10-person TF group — critical-path reviews and TF-side hiring — own architecture and quality on major new build-outs, and stay hands-on (~70% IC) alongside the client's Principal Engineer. Remote · CET (UTC+1/+2) · 4–6h daily overlap with US East — working with US teams since 2019.

Recent projects

Independent practice and research builds — production patterns, engineering-first; status noted per project:

  • research-agent — Multi-agent RAG over an arXiv corpus: plan → parallel-retrieve → synthesize → verify, hybrid pgvector + Postgres FTS retrieval, bounded re-retrieval. Hand-rolled Go orchestrator, no LangChain/CrewAI. In active development.
  • anki-llm-assistant — Spec-first development case study: specs → generated tools → invariant validation, demonstrated on a conversational Anki assistant. Companion to my spec-first article. Python.
  • github-intel — GH Archive ingestion with resumable backfill into ClickHouse; minimal summary API and dashboard. Early stage. Go.

Stack

  • Languages — TypeScript / Node.js · Go · Python · C# / .NET
  • Distributed systems — event-driven architectures · Kafka · Temporal · SQS/SNS · Redis Streams · serverless
  • AI engineering — LLM integration · RAG · multi-agent orchestration · MCP · prompt engineering
  • Cloud & infra — AWS (Solutions Architect – Associate) · Azure · Kubernetes · Docker
  • Data — PostgreSQL · ClickHouse · Elasticsearch · MongoDB · Redis · pgvector

Full-stack background — deep React, some Angular/Vue — currently backend + AI focused.

Background

  • Founded and built Titan Relay — a production DEX on the 0x protocol (2018–2021): TypeScript monorepo, 15 services, Kafka/Postgres/k8s, ~1,500 commits. Archived with a post-mortem on why the architecture outran the team.
  • 10+ years across fintech, retail SaaS, and high-traffic consumer platforms (US and international).
  • BSc (Hons) Mathematics & Statistics, First-Class — The Open University.
  • PhD-track postgraduate in mathematics (differential equations), completed 2008–2011; dissertation resumed 2025 — two MSU seminar talks since.

Links

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  1. research-agent research-agent Public

    Multi-agent RAG over arXiv — hand-rolled Go orchestrator, hybrid pgvector + FTS retrieval. No framework.

    Go

  2. anki-llm-assistant anki-llm-assistant Public

    Spec-first development case study — conversational LLM assistant over an Anki collection. Python.

    Python

  3. github-intel github-intel Public

    Public GitHub events → engineering analytics. Go, ClickHouse.

    Go