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Ankit Johri

@ankitjohri

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I build enterprise GenAI, RAG, and agentic AI systems that improve retrieval, automation, and productivity.

India

Message

What I'm looking for

I'm looking to build secure, measurable GenAI, RAG, and agentic AI products that solve enterprise knowledge, automation, and document-intelligence problems.

I've built enterprise GenAI retrieval systems at IBM and Aguna Solutions, turning fragmented document and business-system knowledge into secure, production-oriented AI workflows. At IBM, my knowledge-retrieval solution using IBM Content Analytics and watsonx improved information-retrieval productivity by 94%.

At Aguna Solutions, I architect IntelliDMS across procurement, contracts, CAPEX, MRF, and PE/PO workflows using async FastAPI, PostgreSQL, Docker, LDAP, and RAG-ready search. My document pipeline achieved 98%+ successful processing on a 10K-document benchmark, while hybrid retrieval and re-ranking reduced unsupported LLM responses by 35%.

I also build GraphRAG, multi-agent orchestration, evaluation, guardrails, and AI observability capabilities across cloud and on-premises environments. I enjoy translating enterprise requirements into secure, measurable AI products.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer II | Applied AI

Current

Aguna Solutions

Jan 2026 - Present (8 months)

Architected IntelliDMS across 5 enterprise workflows using async FastAPI, PostgreSQL, Docker, LDAP, and RAG-ready search, reducing document lookup and approval-handoff time by 60%. Implemented an 8-stage unstructured-data pipeline for OCR, chunking, embeddings, and retrieval, improving ingestion throughput by 2.0x with 98%+ successful processing.

fastAPI PostgreSQL Docker LDAP RAG OCR Embeddings RBAC CNN Face Recognition

Application Developer

IBM

Jun 2022 - Jan 2026 (3 years 7 months)

At IBM, I worked on AI, Generative AI, automation, and cloud solutions to improve productivity and streamline business processes. I developed PoCs using watsonx, automated workflows, built intelligent ticket analysis solutions, collaborated with security teams, and explored AI-driven solutions for enterprise use cases.