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ANSHUMAN SINGH YADAVAY
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ANSHUMAN SINGH YADAV

@anshumansinghyadav

I build enterprise RAG systems, LLM agents, and semantic search pipelines.

India
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What I'm looking for

I'm looking to build production AI systems involving RAG, LLM orchestration, semantic search, evaluation, and enterprise knowledge workflows, while continuing to grow across backend engineering and machine learning.

At PBOPlus Consulting Services, I built enterprise RAG pipelines and multi-agent LLM orchestration for document understanding, improving knowledge-base response accuracy by approximately 40%.

I turn unstructured enterprise content into queryable knowledge using LangChain, LangGraph, ChromaDB, FastAPI, PostgreSQL, and OpenRouter APIs. I also built evaluation loops around incorrect responses, user feedback, and usage data to improve prompts, routing, and retrieval relevance.

My projects span fully local RAG assistants, Angular applications, and deep-learning network traffic classification that achieved 94%+ test accuracy and a 0.96 weighted F1-score.

Experience

Work history, roles, and key accomplishments

PL

AI Engineer

PBOPlus Consulting Services Pvt Ltd

Mar 2026 - Jun 2026 (3 months)

Built RAG pipelines for enterprise document understanding, including ingestion, chunking, and embedding generation indexed into ChromaDB; semantic retrieval improved response accuracy by approximately 40% on knowledge-base queries. Designed a multi-agent orchestration system using LangGraph/LangChain and engineered backend AI services with FastAPI, PostgreSQL, and ChromaDB.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology, Rourkela logoNR

National Institute of Technology, Rourkela

Master of Technology, Computer Science and Engineering

2024 -

Grade: 7.94/10.0

Pursuing M.Tech in Computer Science and Engineering with a CGPA of 7.94/10.0.

University of Lucknow logoUL

University of Lucknow

Bachelor of Technology, Computer Science and Engineering

2019 - 2023

Grade: 7.12/10.0

Completed B.Tech in Computer Science and Engineering with a CGPA of 7.12/10.0.

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