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Abhishek Kumar ChauhanAC
Open to opportunities

Abhishek Kumar Chauhan

@abhishekkumarchauhan

I build production RAG, document intelligence, and agentic AI systems.

India
Message

What I'm looking for

I'm looking to build production AI systems involving RAG, agentic workflows, document intelligence, NLP, and regulatory-domain applications, with opportunities to solve practical problems using Azure and modern LLM tooling.

At Zipp.ai, I build AI compliance products that combine agentic LLM workflows, document extraction, Azure AI Search, and evidence verification for regulatory use cases.

I built a compliance tool with five LLM workflows and 20+ tools, exposed through an MCP server and FastAPI. I also indexed 5,000+ documents with hybrid retrieval and re-ranking, while reducing average query latency from seven seconds to under four seconds through prompt caching and response streaming.

Previously as an AI/ML Engineering Intern at Zipp.ai, I built an RAG-based SOP gap-analysis system mapping SOPs against FDA and EU-GMP regulations. I developed ingestion, semantic indexing, knowledge-graph, chunking, and change-detection workflows to support cross-reference detection and regulatory clause retrieval.

I also build hands-on AI projects, including a multi-model document analysis pipeline using fine-tuned YOLOv11 and PyTorch, and Codeforge-CLI, a terminal coding agent using LangGraph, tree-sitter, and self-validating build retries.

Experience

Work history, roles, and key accomplishments

ZI
Current

AI/ML Engineer

Zipp.ai

Jun 2026 - Present (2 months)

Built Agentic AI compliance tool with 5 LLM workflows, 20+ tools, Docling OCR, exposed via MCP server & FastAPI. Built compliance matrix on Azure AI Search with evidence verification, auto-remediation, 5-way async concurrency, 70+ tests. Reduced average query response latency from 7 sec to under 4 sec through prompt caching and response streaming. Indexed 5000+ documents in Azure AI Search with hy

ZI

AI/ML Engineering Intern

Zipp.ai

Jun 2025 - May 2026 (11 months)

Built an RAG-based SOP Gap Analysis system using Azure AI Search to map SOPs against FDA/EU-GMP regulations. Developed an automated SOP ingestion pipeline with Docling for text extraction, summarization, and semantic indexing. Designed a knowledge graph–based framework enabling multi-SOP gap analysis and cross-reference detection across SOPs. Implemented semantic and hierarchical chunking strategi

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Allahabad logoNA

National Institute of Technology Allahabad

Bachelor of Technology, Mechanical Engineering

2022 -

Grade: 8.23 CGPA

Pursuing Bachelor of Technology in Mechanical Engineering with a CGPA of 8.23.

SP

Scholars Pride

Class XII (CBSE Board), General Studies

Grade: 95.60%

Completed Class XII under CBSE Board with a percentage of 95.60%.

JS

Jayprabha English Medium High School

Class X (Maharashtra Board), General Studies

Grade: 93.80%

Completed Class X under Maharashtra Board with a percentage of 93.80%.

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