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adhil muhammed

@adhilmuhammed1

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I build production-grade agentic AI and RAG systems with evaluation, retrieval, and human-review workflows.

India

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What I'm looking for

I'm looking to build production-grade agentic AI and RAG systems, contributing across retrieval, evaluation, backend engineering, and human-in-the-loop workflows.

I build agentic AI and RAG systems that move from requirements and research questions to grounded, evaluated outputs.

For Archon, I built a LangGraph multi-agent architecture system with supervisor, research, critic, human-review, and finalizer agents. Its bounded revision workflow achieved 83.33% structural correctness and a 92.5% G-Eval quality score.

I also built PaperPilot AI, which routes queries across general QA, hybrid local retrieval, and live academic research using arXiv and OpenAlex. It combines dense retrieval, BM25, Cohere reranking, citation validation, and two-layer evaluation with pytest, DeepEval, and LangSmith.

My work spans Python, FastAPI, PostgreSQL, vector databases, React, Docker, CI/CD, and deployment. I’ve also developed JuriSight, a legal RAG assistant for Indian law with FAISS search, IPC–BNS cross-referencing, multilingual support, and conversation memory.

Experience

Work history, roles, and key accomplishments

Generative AI Engineer

Self Employed

Designed and shipped production-grade agentic and generative AI systems, including LangGraph multi-agent workflows and hybrid-retrieval RAG pipelines with citation validation.

LangGraph fastAPI PostgreSQL Docker CI CD DeepEval G Eval Langsmith MCP Weaviate Faiss Cohere Gemini React Next.js

Education

Degrees, certifications, and relevant coursework

MES College of Engineering, Kuttippuram

B.Tech, Artificial Intelligence and Data Science

Grade: 7.5 CGPA

B.Tech in Artificial Intelligence and Data Science from MES College of Engineering, Kuttippuram, affiliated with APJ Abdul Kalam Technological University, graduated in August 2026 with a CGPA of 7.5.