---
title: "Sridip Basu - AI Engineer in Greater Bengaluru Area | Tal"
description: "Meet Sridip Basu, AI Engineer @ Ambitio | Reviewer (Kaggle CLI) @ Google DeepMind | IIIT Lucknow ’27 based in Greater Bengaluru Area. AI stack includes antigravity, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/sridip-basu/share-image"
---

# Sridip Basu on Tal

## Headline

AI Engineer @ Ambitio \| Reviewer \(Kaggle CLI\) @ Google DeepMind \| IIIT Lucknow ’27

## About

I’m currently pursuing my M\.Sc\. in Artificial Intelligence & Machine Learning at IIIT Lucknow and working as a Data Science Intern\. I’m particularly interested in how mathematical concepts translate into practical machine learning systems\. With a strong background in Statistics, I enjoy breaking down problems, understanding patterns in data, and building models that are both accurate and meaningful\. I’ve worked with Python, SQL, and common ML libraries to clean data, engineer features, and develop predictive models for real\-world datasets\. More than just training models, I focus on understanding why they work from assumptions to evaluation metrics\. I’m looking to grow in roles related to Data Science and Machine Learning where I can keep learning, contribute thoughtfully, and work on problems that require both analytical depth and practical implementation\. If you’re working on interesting ML or data\-driven problems, I’d be glad to connect\.

## Location

Greater Bengaluru Area

## AI stack

antigravity

claude code

claude

codex

cursor

hugging face

## Work experience

AI Engineer at Ambitio, Jul 2026 \- Present · 2 mo, Bangalore, Improved recommendation relevance for grants, fellowships, and PhD opportunities by 15%, measured by top\-k retrieval precision against manually labelled matches, by building an embedding\-based semantic retrieval pipeline with cosine\-similarity ranking • Reduced GCP inference cost by 13% while holding output quality flat, measured by a rubric\-scored evaluation pipeline over 100 held\-out samples, by A/B testing Gemini model variants and prompt configurations • Expanded usable opportunity coverage to 1,000 deduplicated records across 20 sources, measured by post\-ingestion duplicate rate, by engineering Python ETL pipelines for ingestion, normalization, enrichment, and fuzzy deduplication into PostgreSQL • Automated personalized graduate\-application outreach that previously required manual drafting, delivering 1,000\+ emails per month in production, by building agentic LLM workflows in LangGraph with structured prompt templates and output validation guardrails • Restored correctness of live recommendation output by resolving 4\+ production incidents across retrieval, ranking, and PostgreSQL\-backed services, through end\-to\-end root cause analysis of query logic, embedding quality, and upstream data defects

Open Source Contributor \(Core\) at Kaggle, May 2026 \- Aug 2026 · 4 mos, Improving the Kaggle command line interface to make terminal workflows easier for users\.

Data science Intern \- Climate Resilience Observatory \(CRO\) at Government of Uttar Pradesh, Sep 2025 \- Jun 2026 · 10 mos, Lucknow, https://cro\-ar3\.pages\.dev/team/sridip\-basu

## Education

Master's Degree, Artificial Intelligence, Indian Institute of Information Technology Lucknow

Bachelor of Science \- BS \(NEP\), Statistics and Mathematics, bangalore university

## Public links

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

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

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