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neuralbroker/README.md

I am a software engineer focused on backend systems and applied AI.

I build APIs, data services, retrieval systems, and AI-powered products.

Projects

  • 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.

Technical Skills

  • 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

Links

Other projects

  • 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.

Pinned Loading

  1. esencelab esencelab Public

    TypeScript

  2. lexora-ai lexora-ai Public

    Python

  3. neudb neudb Public

    Python