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Tejas Gadhave

@tejasgadhave

I build production GenAI systems that turn documents, calls, and data into traceable business insights.

India
Message

At Gramener, I build production GenAI platforms including GraphTrail, a document intelligence chatbot that converts mixed-format content into Neo4j knowledge graphs and conversational, traceable answers.

I've also delivered Voice Assist, increasing customer-service call evaluation coverage from 12.5% to 100% across 40 daily calls, and ProdG.AI, a multi-agent platform that gives pharma product managers structured insights from customer, market, and revenue data.

Previously at Citicorp, I built an MRM chatbot using LangChain and Llama2 and delivered 92% named-entity extraction accuracy for trade settlement documents, saving 430K manual touch points per month.

My work spans LangGraph, RAG, knowledge graphs, NLP, document AI, Python, cloud platforms, and scalable ML systems across banking, healthcare, education, and customer service.

Experience

Work history, roles, and key accomplishments

HI

Python Engineer

HSBC Technologies India

Sep 2016 - Mar 2018 (1 year 6 months)

Delivered configurable, role-specific news summaries for finance domain heads via a customizable UI.

CS

Programmer Analyst

Cognizant Technology Solutions

Aug 2013 - Sep 2016 (3 years 1 month)

Worked as a programmer analyst, contributing to software development projects.

Education

Degrees, certifications, and relevant coursework

SE

Smt. Kashibai Navale College of Engineering

Bachelor of Engineering, Computer Engineering

2010 - 2013

Pursued a Bachelor of Engineering in Computer Engineering from 2010 to 2013.

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