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