Abhishek Kumar Chauhan
@abhishekkumarchauhan
I build production RAG, document intelligence, and agentic AI systems.
What I'm looking for
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
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
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
Bachelor of Technology, Mechanical Engineering
2022 -
Grade: 8.23 CGPA
Pursuing Bachelor of Technology in Mechanical Engineering with a CGPA of 8.23.
Scholars Pride
Class XII (CBSE Board), General Studies
Grade: 95.60%
Completed Class XII under CBSE Board with a percentage of 95.60%.
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%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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