---
title: "Nitin Aggarwal - Sr Staff Machine Learning Engineer in Bengaluru | Tal"
description: "Meet Nitin Aggarwal, AI&ML @ Uber based in Bengaluru. AI stack includes langgraph, langsmith, and mcp."
image: "https://tal.club/meet/nitin-aggarwal/share-image"
---

# Nitin Aggarwal on Tal

## Headline

AI&ML @ Uber

## About

I am a Senior Staff AI Leader at Uber, currently bridging the gap between foundational ML models and autonomous Agentic experiences\. With 14\+ years at companies like Microsoft and Huawei, I have built teams from scratch and deployed multi\-modal Search and Recommendation systems serving millions across diverse languages\. For AI ML & Gen AI systems \- Designed and evangelized continuous evaluation and audit systems that measure quality, fairness, safety, robustness, and business impact\.

## Location

Bengaluru

## AI stack

langgraph

langsmith

mcp

openclaw

opencode

huggingface

## Work experience

Sr Staff Machine Learning Engineer at Uber, Sep 2025 \- Present · 1 yr 1 mo, Bengaluru, Karnataka, India, UberEats ML Foundation : Large Scale ML for Search / Ads / Shopping / Feed to move for faster experimentation \+ GPU cluster optimization and movement to Generative Recommendation Paradigm \. Improved model trust worthiness / impact / quality / latency and overall robustness \. Improved overall quality of models across Uber ecosystem including contribution in Foundational Models at Uber Merchant AI \- Built Conversational Insights \- A real time Generative AI built on Single agent structure in partnership with Anthropic and Uber \. This was materially impactful due to multi agent simulations and evals built as first principle to provide real time precise actions to the user\. Novel context graph to improve the response quality while limiting token usage at same time \. Merchant Growth Recommendations : Led the project to improve recommendations to improve the same stores growth for Merchants \- Build on ML \+ Gen AI models \- Virtual Account Manager for Million scale Merchants\. Offers Recommendations \- Personalised Causal and Incremental recommendations for Offers for Merchants to grow their business\. Extensively worked on real time , low latency ML \+ Agentic Applications to serve business use cases on scale \-\- with a self improvement loop and harness built out \.

Principal Data Scientist at Lowe's India, Apr 2023 \- Oct 2025 · 2 yrs 7 mos, Bengaluru, Karnataka, India, Built Recommendation and Search Systems on Scale using Applied AI research on Extreme Multi Label Classification Models \. Build low latency Autocomplete systems , Query Understanding and Classification models , and novel transformer models\. Achieved 7x increase in throughput with collaboration with Nvidia \+ Intel with customized device aware post training quantization\. Drove Industry \- academia partnership with Umass Amherst and other univiersities\.

Sr Manager Applied Data Science at Lowe's India, Dec 2020 \- Apr 2023 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Search \+ NLP \+ IR \+ Ranking @Lowes\.com

Lead Data Scientist at Huawei Technologies India, Nov 2018 \- Dec 2020 · 2 yrs 2 mos, Greater Bengaluru Area, Mobile Services recommendation services \. AI platform for large scale applications \.

Sr Data Scientist at Microsoft, Jun 2017 \- Oct 2018 · 1 yr 5 mos, Hyderabad Area, India, Search Relevance for Bing across geographies using ML on scale

Principal Data Scientist 2 at Info Edge India Ltd, May 2015 \- Jun 2017 · 2 yrs 2 mos, Noida Area, India, Lead and managed a team to improve of Real time Job Recommendation systems for Naukri\. Semantic search & Information Retrieval and Concepts building using NLP \. Big Data Distributed Computing using Apache Spark ,Gensim, Mahout \. Mathematical Models to create knowledge graphs and domain knowledge\. Adept at Search technologies like SOLR & Elastic Search \(ELK\)\.

## Education

Integrated Masters in Mathematics and Computing, Mathematics and Computer Science, Indian Institute of Technology, Delhi

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

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