Senior Engineer · AI Engineering · Backend/Platform · Agent-Driven Development

Building LLM-powered systems that remember, reason, and ship. Author of virage (RAG pipeline), kms (agent knowledge management), and edap_model (civilization dynamics modeling).

TypeScript/Rust · 1.2M+ LOC indexed · Production-grade

The RAG pipeline that indexes once and stays in sync with every commit. Powers agent memory for AI coding assistants. Built with incremental AST-aware indexing, hybrid search (semantic + keyword), and eval-driven quality gates.

Stack: TypeScript, Rust, Tree-sitter, PostgreSQL/pgvector, GitHub Actions

Shell/Python · Plugin for Claude Code, Codex, Kilo

Gives AI coding agents durable, checkable knowledge — decisions, facts, and guardrails they won't forget, contradict, or re-litigate. Implements ADR/decision records, fact extraction, guardrail enforcement, and skill composition.

Stack: Shell, Python, Markdown, Git

Python/TeX · GPU-accelerated · Historical calibration

Mathematical model of civilization dynamics simulating how elite resource extraction erodes cooperation and technology, trapping societies in feudal equilibrium. Addresses Fermi Paradox via Great Plateau/Filter hypothesis.

Stack: Python (JAX/CUDA), TeX, NumPy/SciPy, Matplotlib

TypeScript Python Rust LangChain LlamaIndex Tree-sitter pgvector Eval-driven Dev

C#/.NET 8/10 Node.js Go PostgreSQL DynamoDB Redis Kafka/Kinesis gRPC REST

AWS (ECS, Lambda, RDS, DynamoDB) Azure Terraform GitHub Actions Kubernetes Docker

Angular 21 React TypeScript Tailwind PrimeNG Next.js

Prometheus Grafana ELK OpenTelemetry xUnit Jest Playwright

Agent-Driven Development — AI agents as first-class team members, not autocomplete. Durable context > prompt engineering.

Knowledge as Infrastructure — Decisions, facts, and guardrails are versioned, reviewable, and enforced — same as code.

Pragmatic Craft — Ship iteratively. Measure what matters. Optimize for change. Technical excellence serves product outcomes.

Systems Thinking — Local optimizations fail. Model the whole: data flow, team topology, incentive structures, failure modes.

• Taxonomy Is a Language — Why AI agents need structured vocabulary, not just more context (Medium, Sep 2026)
• The Project I Inherited Had No Memory Either — Onboarding failures as knowledge management gaps (DEV, Sep 2026)
• Two Kinds of Memory — Episodic vs semantic memory in agent systems (DEV, Sep 2026)
• My AI Keeps Forgetting What We Already Decided — The case for durable decision records (DEV, Sep 2026)
• Building a Terraform Provider for Paddle Billing — Real-sandbox testing strategies (DEV, Sep 2026)

All DEV articles → · All Medium articles →

• Senior .NET / Cloud Engineer — Designed & delivered 20+ microservices on .NET 8/10, Python, Node.js across AWS & Azure; integrated GenAI tooling (RAG, agent memory); built CI/CD & IaC from scratch; technical leadership via architecture POCs, code reviews, mentoring
• Senior Software Engineer — Built high-load RESTful APIs & microservices on AWS (.NET Core, EF Core, Dapper); optimized PostgreSQL/RDS for 2–3× query performance; designed async messaging flows (SQS, Kinesis)
• Technical Lead — Led 4–9 engineers building infrastructure for GPU mining operations; architected custom OS distribution + high-performance pool software; stack: Azure, Kubernetes, .NET Core, Kafka, Redis, MongoDB, ClickHouse, PostgreSQL, ELK, Prometheus, Grafana, Angular

Open to: Senior/Staff IC roles · AI Engineering leadership · Technical advisory · Agent-driven development consulting · B2B / Independent Contractor