I am a software engineer focused on backend systems and applied AI.
I build APIs, data services, retrieval systems, and AI-powered products.
- neuDB — A small Python database engine with human-readable JSON persistence, atomic writes, file locking, vector search, and optional LLM memory retrieval. Published on PyPI.
- EsenceLab — A three-service career platform built with Next.js, Express, FastAPI, and Supabase. It includes role-based access, resume processing, job matching, and career workflows.
- Lexora AI — A FastAPI RAG backend with document ingestion, per-user FAISS indexes, Redis caching, authentication, and source-aware responses.
- Languages: Python, TypeScript, JavaScript, SQL
- Backend: FastAPI, Node.js, Express, REST APIs, Microservices, JWT, RBAC, SQLAlchemy, Async Programming
- Frontend: React, Next.js
- Databases & Infrastructure: PostgreSQL, Redis
- AI/LLM: RAG, LangChain, Vector Search (FAISS), Embeddings
- DevOps: Docker, GitHub Actions, CI/CD, Linux, Monitoring & Observability
- Bugbee — A TypeScript AI coding agent for the terminal, desktop, and IDE, built with Bun and organized as a multi-package workspace.
- AI Resume Screener — A FastAPI service for authenticated resume screening, matching history, and administrative review.

