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abhishekacharya200/README.md

Abhishek Acharya

AI engineer in Kathmandu, Nepal. I build retrieval (RAG) and agent systems, and I measure how well they work. Open to remote roles.

Portfolio Β· LinkedIn Β· Email


What I'm working on

  • AI and Automation Intern at K&A Power: a document search service over about 50,000 company files, a daily tender tracker for ADB, World Bank and AIIB notices, and invoice matching for 1000+ documents a month.
  • Open source: fixing bugs in Python and AI projects, currently focused on LiteLLM and PyTorch Lightning.

Featured projects

Project What it is Proof
Production RAG (private, code on request) Document search and QA: hybrid dense and BM25 search in Qdrant, LLM reranking, per document access control, cited answers nDCG@10 0.795 on the public BEIR SciFact benchmark (dense only: 0.646, BM25: 0.667)
Fixgate (private, code on request) Agent that reproduces a GitHub issue in a sandbox, writes and checks a fix, and opens a PR only after a person approves the exact patch Resolved 22 of 31 SWE-bench Verified issues (71%, partial run) at about $0.02 each
vault2okf Converts Obsidian vaults into Open Knowledge Format bundles for AI agents, then validates and repairs them Published on PyPI, with a GitHub Action and pre-commit hook
RAG Gateway Local server that speaks the OpenAI, Anthropic and Gemini APIs, for building and testing RAG apps Used to run the Production RAG benchmark through local OpenAI compatible endpoints

Open source contributions (merged)

All my merged pull requests

Tools I use

  • AI: RAG, hybrid search, reranking, LLM evaluation, agents and tool calling, OpenAI, Claude and Gemini APIs, Ollama
  • Search and data: Qdrant, FAISS, ChromaDB, PostgreSQL, Redis
  • Engineering: Python, FastAPI, Django REST Framework, TypeScript, Docker, GitHub Actions

Pinned Loading

  1. vault2okf vault2okf Public

    Convert Obsidian vaults to Open Knowledge Format (OKF) bundles, then validate and repair any OKF bundle. Python CLI, GitHub Action and pre-commit hook.

    Python 1