---
title: "Gaganasri M N - Data Analyst in Bengaluru | Tal"
description: "Meet Gaganasri M N, Generative AI Engineer & Data Analyst @ Capgemini | Python · LLMs · RAG · Agentic AI based in Bengaluru. AI stack includes hugging face, langchain, and langgraph."
image: "https://tal.club/meet/gaganasri-m-n/share-image"
---

# Gaganasri M N on Tal

## Headline

Generative AI Engineer & Data Analyst @ Capgemini \| Python · LLMs · RAG · Agentic AI

## About

I’m a Generative AI Engineer and Data Analyst at Capgemini, building production\-ready AI systems that deliver real business impact\. 🔹 What I do: • Design and deploy Generative AI systems \(LLMs, RAG, Agentic AI\) • Build automation and decision\-support pipelines using Python & ML 🔹 Experience highlights: • \~2 years of hands\-on experience across GenAI, ML, and NLP • Awarded “Shining Star” at Capgemini and recognized as a Top Performer by the client for consistent high\-impact delivery • Collaborating with client stakeholders and cross\-functional teams across the globe\. • Built award\-winning solutions like VirTraYog — a digital fitness platform recognized as Best Project at a state\-level expo 🔹 Tech stack: LLMs \(GPT\-4, LLaMA 2/3, Gemini\) · RAG · Hugging Face Python · ML/DL · NLP · Agentic AI GCP · Data Analysis · Feature Engineering Always open to collaborating on impactful AI problems\.

## Location

Bengaluru

## AI stack

hugging face

langchain

langgraph

openai

## Work experience

Data Analyst at Capgemini, Oct 2024 \- Present · 1 yr 7 mos, Bengaluru, Karnataka, India, •Partnered with cross\-functional teams to convert business requirements into actionable insights\. •Currently working on Prompt Engineering for hyperautomation initiatives, delivering innovative solutions for a leading FinTech client\. •Developed and implemented Agentic AI use cases; actively contributed to hackathons and multiple proof\-of\-concepts leveraging GA4 and Adobe Analytics\.

Remote AI Intern at Stochastic, Mar 2024 \- Aug 2024 · 6 mos, Boston, Massachusetts, United States, • Developed a Generative AI system for automated juice recipe creation • Integrated structured datasets with LLM\-based generation workflows • Worked on data preprocessing, feature engineering, and evaluation

AI Intern at GreenPepper \+ AI, Feb 2024 \- May 2024 · 4 mos, Worked as a lead for a team of 4 people and a Gen AI developer\- Developed a YouTube summarization app using Llama 2, Haystack, and Streamlit\. Contributed to a review paper on Large Language Models in Radiology\.

## Education

Bachelor of Engineering \- BE, Electronics and Communications Engineering, Dayananda Sagar College of Engineering, BANGALORE

Pre\-University, PCMB, Soundarya PU College,Bengaluru

[View the original profile](https://tal.club/meet/gaganasri-m-n)

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