I’m an AI Software Engineer and Backend Engineer with 5+ years shipping production software, now focused on agent-driven development. I build and orchestrate coding agents (Claude Code, GitHub Copilot, Cursor) using specialized subagents for development, testing, and code review—while enforcing quality, security, and maintainability gates for AI-generated code.
I design reliable backend systems and integrations using Python (FastAPI, async/await), strong API and architecture practices (Clean/Hexagonal), and solid observability/testing. I also do LLM/RAG engineering (Anthropic/OpenAI, LangGraph, Qdrant) with evals and context/token cost optimization, building MCP servers and AI-executable workflows to accelerate delivery.
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Conversational AI agent built with Retrieval-Augmented Generation (RAG) to answer questions over a domain-specific knowledge base.
Implemented RAG using ChromaDB for semantic vector search and the Anthropic Claude API for response generation. I deliberately used the SDKs directly rather than a framework, to keep full control over the retrieval and generation pipeline and understand it at a low level.
Built with NestJS / TypeScript following Hexagonal Architecture and Domain-Driven Design (DDD), keeping the LLM and vector store as swappable infrastructure adapters. Reached ~80% test coverage and added full observability with Prometheus, Grafana, and Loki.
Tech: NestJS, TypeScript, ChromaDB, Anthropic Claude API, Gemini API, Prometheus, Grafana, Loki.
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