---
title: "Vipasha Vaghela - Sotware Engineer (Member of Technical Staff) in Bengaluru | Tal"
description: "Meet Vipasha Vaghela, AI Engineer | Building LLM-powered products | M.Tech (ML), DA-IICT based in Bengaluru. AI stack includes claude code, cursor, and langchain. Explore public work links including github."
image: "https://tal.club/meet/vipasha-vaghela/share-image"
---

# Vipasha Vaghela on Tal

## Headline

AI Engineer \| Building LLM\-powered products \| M\.Tech \(ML\), DA\-IICT

## About

I'm an AI Engineer with 2 years of experience building production AI systems and large\-scale data platforms, most recently at Fermàt Commerce\. My work has spanned the full stack of applied AI \- from semantic search and embedding\-based retrieval, to LLM\-powered reporting tools, to the data infrastructure that makes those systems reliable\. I've built: \- Semantic search pipelines using embedding\-based retrieval to improve product discovery for ecommerce platforms \- An AI\-powered site audit report generator that uses an LLM to turn raw analytics data into readable insights \- A heatmap generation platform and session recording infrastructure to analyze large\-scale user interaction data \- dbt models and BigQuery transformations powering analytics dashboards and reporting Before this, I completed my M\.Tech in Machine Learning at DA\-IICT, where I worked on projects in recommendation systems and NLP \- including a personalized recommendation system that models short\- and long\-term user intent, and an NLP/LLM\-based system for classifying legal FIRs \(2nd Runner\-up, Rajasthan Police Hackathon\)\. I care about building AI products that are genuinely useful \- not just technically interesting \- and I like working close to the data, from backend APIs to the pipelines feeding them\. Currently exploring AI Engineer / ML Engineer roles where I can keep building production LLM applications and retrieval systems\.

## Location

Bengaluru

## AI stack

claude code

cursor

langchain

langgraph

n8n

openai

## Work experience

Sotware Engineer \(Member of Technical Staff\) at FERMÀT, Nov 2025 \- Present · 11 mos, \- Built semantic search functionality using embedding\-based retrieval to improve product discovery relevance for ecommerce storefronts \- Developed an AI\-powered site audit report generator, using an LLM to convert raw site/analytics data into automated, human\-readable insights for prospects\. \- Built a heatmap generation platform to process and visualize user interaction events \(clicks, scrolls\) at scale \- Designed and implemented session recording infrastructure for capturing, storing, and replaying user behavior on client storefronts

Junior Software Engineer at FERMÀT, Jul 2024 \- Nov 2025 · 1 yr 5 mos, Bengaluru, Karnataka, India, \- Built and maintained dbt models and BigQuery transformations powering analytics dashboards and reporting \- Designed backend APIs and gRPC services in Go; contributed to React frontend components \- Led integrations with Salesforce Commerce Cloud \(SFCC\), including session bridging and dynamic configuration for enterprise clients

Data Analytics Consulting Virtual Internship at KPMG Australia, Aug 2023 \- Aug 2023 · 1 mo, Remote, Data Quality Assessment Data Insights Data Insights and Presentation

Teaching Assistant at Dhirubhai Ambani Institute of Information and Communication Technology, Aug 2022 \- Jun 2024 · 1 yr 11 mos, Gujarat, India

## Education

Master of Technology \- MTech, Machine Learning, Dhirubhai Ambani University

Bachelor of Engineering, Information Technology, Gujarat Technological University \(GTU\)

## Public links

- github: https://github\.com/vipashaaV321

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

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