---
title: "Jayesh Kumpawat - Data Scientist in Gurugram | Tal"
description: "Meet Jayesh Kumpawat, AI Engineer | Machine Learning Engineer | GenAI, RAG, Agentic AI, LLM Systems | ZS, Swiggy based in Gurugram. AI stack includes opencode and claudecode. Explore public work links including github."
image: "https://tal.club/meet/jayesh-kumpawat/share-image"
---

# Jayesh Kumpawat on Tal

## Headline

AI Engineer \| Machine Learning Engineer \| GenAI, RAG, Agentic AI, LLM Systems \| ZS, Swiggy

## About

AI/ML Engineer working at the intersection of generative AI, NLP, and multimodal systems\. I've spent the past few years building across a range of ML problems — from LLM\-powered document generation with agentic workflows to multilingual speech recognition for code\-mixed Indian languages, and from adversarial domain adaptation in audio to reinforcement learning for path optimization\. What ties these together: I'm drawn to problems where unstructured, messy inputs — documents, speech, audio, text — need to be understood, structured, and acted on\. The most impactful system I've worked on combined LLMs, RAG, and structured extraction into a pipeline that reduced clinical document authoring time by 30–90% depending on complexity\. My foundation in this comes from studying Data Science & Engineering \(minor: EE & CS\) at IISER Bhopal, where I had the chance to work on research across NLP, audio signal processing, computer vision, and sequential decision\-making — each one adding a different lens to how I think about ML problems\. Focus areas: Generative AI, Agentic AI, LLM Systems, NLP, Deep Learning, Multimodal Learning, Speech Recognition, Reinforcement Learning, Robotics\. Open to AI/ML Engineer, GenAI Engineer, LLM Engineer, and Data Scientist roles\. 📄 Resume: https://tinyurl\.com/resumeJayesh

## Location

Gurugram

## AI stack

opencode

claudecode

## Work experience

Data Scientist at ZS, Sep 2023 \- Present · 3 yrs, Gurugram, Haryana, India, Project: DocGenAI: AI\-powered Document Generation Platform: • Built GenAI pipelines for automated clinical document authoring using LLMs, RAG, structured extraction and output validation\. • Developed agentic workflows using Pydantic AI for tool\-calling, structured outputs, and controlled LLM execution\. • Impact: The solution will accelerate the drug development lifecycle thus bringing treatments to patients more efficiently\. Project: NLP based Clinical Study Optimisation \(ZS Innovation Lab\): • Contribute to diverse workstreams using AI to deliver tailored solutions from intricate clinical trial data, benefiting clients’ study optimization teams\. Project: Digitization of Clinical Development Plan documents: • Established a pipeline for CDP documents, enabling extraction of crucial elements including sec\- tions, images, tables and metadata\. • The pipeline lays the groundwork for creation of real\-time alert applications & leveraging LLM\- assisted authoring of these documents, capitalizing on the structured data prepared\.

Data Science Intern at Swiggy, Jan 2023 \- Apr 2023 · 4 mos, Location Intelligence Team Project: Mining intent from calls in the hyperlocal delivery domain • Develop an end\-to\-end system that utilizes a multimodal approach combining data across speech, text, and geospatial domains to extract the intent behind these calls\. • 1st Stage: Developing an ASR engine that can accurately transcribe calls to text while also accounting for the unique challenges posed by code\-mixed Indian languages\. • 2nd Stage: An intent classification model that takes the transcribed text as input and assigns it to one of the intent categories\.

Summer Intern at IISER Bhopal, May 2022 \- Jul 2022 · 3 mos, Bhopal, Madhya Pradesh, India, Project: Audio Domain Adaptation 1\. Adapting an audio classification model for datasets of different domain\. 2\. Extracting domain\-invariant features from the datasets \(source & target\)\. 3\. Model trained on the source distribution to be used in the context of the different target distribution\.

Events & Management Co\-ordinator \| ACM Students' Chapter @IISER Bhopal at ACM, Association for Computing Machinery, Jan 2022 \- Dec 2022 · 1 yr

## Education

Bachelor of Science \- BS, Major in Data Science & Engineering \(Minor in Electrical Engineering & Computer Science\), IISER Bhopal

## Public links

- github: https://github\.com/Jayesh\-Kumpawat

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

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