---
title: "Om Gholap - Agentic AI - Developer in Bengaluru | Tal"
description: "Meet Om Gholap, Developer @ Genpact | Building AI Solutions for Automation based in Bengaluru. AI stack includes claude code, hugging face, and langchain. Explore public work links including youtube.com."
image: "https://tal.club/meet/om-gholap/share-image"
---

# Om Gholap on Tal

## Headline

Developer @ Genpact \| Building AI Solutions for Automation

## About

GenAI specialist at Genpact skilled in LLM fine\-tuning, Multimodal AI, LangChain and RAG pipelines, and deploying models on AWS, Azure, and GCP\- VertexAi\.

## Location

Bengaluru

## AI stack

claude code

hugging face

langchain

langgraph

openai

## Work experience

Agentic AI \- Developer at GENPACT, Dec 2025 \- Present · 10 mos, \* Architected and shipped a multi\-agent system suite \(Semantic Kernel\) with 4–5 use cases in production, serving 200\+ analysts across 4\+ enterprise workflows through autonomous task decomposition and tool routing \* Designed a self\-hosted LLM observability stack \(Grafana, Loki, Prometheus, Tempo\) on Azure infra, cutting debugging time 60% and incident response 40%

Data Scientist at GENPACT, Aug 2024 \- Present · 2 yrs 2 mos, Bengaluru, \* Data Scientist \(Aug 2024 – Present\) 📄 IEEE Published Research — Fine\-tuned a Tiny Language Model using QLoRA \(PEFT\) to automate end\-to\-end insurance claims processing, reducing dependency on large\-scale LLMs while maintaining high accuracy\. Paper Link: https://ieeexplore\.ieee\.org/abstract/document/11472416 \* Built a production async legal contract extraction pipeline \(Textract → Claude 3\.7 → Salesforce\) with a caching layer to reduce both individual deal and batch processing time, processing 8,000\+ contracts/week at 93\.64% accuracy and cutting deal entry time 87\.5% — scaled across 117 fields spanning 30\+ regions/languages, each with distinct parsing rules and legal contract logic

Data Science Intern at GENPACT, Jan 2024 \- Jul 2024 · 7 mos, Bengaluru, \* Developed an open\-source segmentation tool for medical applications, with a Streamlit front\-end to assess and showcase model performance \* Conducted a comprehensive comparison of state\-of\-the\-art image\-captioning models across relevant metrics, with findings applied to later projects \* Built an end\-to\-end QnA application using RAGAS and LLMs to retrieve text and image data in structured form from user\-provided contexts \* Built a GPT\-4 Vision \+ U\-Net dual\-model system for invoice fraud detection, achieving 90% accuracy with 30% fewer false positives, deployed on GCP Vertex AI

Data analytics intern at Edulyt India at Edulyt India, Aug 2023 \- Sep 2023 · 2 mos, Remote

Machine Learning Intern at Suvidha Foundation \(Suvidha Mahila Mandal\), Aug 2023 \- Sep 2023 · 2 mos

Data Science & Business Analytics at The Sparks Foundation, Jan 2022 \- Jun 2022 · 6 mos

## Education

Bachelor of Technology \- BTech, Data Science, NIIT University

DY Patil University

## Public links

- youtube\.com: https://youtube\.com/@@omgholap86

[View the original profile](https://tal.club/meet/om-gholap)

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