---
title: "Rohit Saini - Director - Data Science in Bengaluru | Tal"
description: "Meet Rohit Saini, Senior AI/ML Leader · GenAI, RAG & Recommendation Systems · Building Production-Scale LLM Systems · IISc · Speaker based in Bengaluru. AI stack includes codex, cursor, and claudecode."
image: "https://tal.club/meet/rohit-saini/share-image"
---

# Rohit Saini on Tal

## Headline

Senior AI/ML Leader · GenAI, RAG & Recommendation Systems · Building Production\-Scale LLM Systems · IISc · Speaker

## About

I build AI systems that work in production, not just in notebooks\. Over 9 years, I've worked across banking and media, shipping GenAI, RAG, and recommendation systems that drive measurable outcomes\. At Wells Fargo, I led a RAG\-based virtual assistant that indexes 600\+ banking documents and achieves 95% search accuracy, with a patent pending on the architecture\. At Zee Entertainment, I worked on knowledge graph\-based search and recommendation systems that grew effective content catalog reach from 65 to 430 titles and contributed to a 9\.6% watch\-time uplift for 2M\+ users\. My experience spans LLM fine\-tuning, agentic pipelines, vector search, MLOps, feature stores, and model governance\. I enjoy working across the full cycle from research and prototyping to production deployment and team enablement\. Outside of work, I speak at AI events and sessions, enjoy mentoring teams, and like breaking down complex topics for practical audiences\.

## Location

Bengaluru

## AI stack

codex

cursor

claudecode

## Work experience

Director \- Data Science at Eloelo, May 2026 \- Present · 4 mos, Bengaluru, Karnataka, India

Vice President \- Generative AI at Wells Fargo, Feb 2026 \- May 2026 · 4 mos, \- Leading GenAI strategy and architecture for banking workflows, with a focus on production LLM systems at enterprise scale\. \- Working across AI, engineering, compliance, and business teams to embed GenAI capabilities into core banking operations\. \- Expanding the RAG platform to support agentic workflows using Google ADK, beyond document retrieval\. \- Mentoring AI engineers and data scientists on LLM evaluation, prompt engineering, and responsible deployment practices\.

Senior AVP \- Generative AI at Wells Fargo, May 2024 \- Feb 2026 · 1 yr 10 mos, \- Built a RAG\-based banking virtual assistant achieving 95% Hit Rate@3, indexing 600\+ documents with HTML\-aware chunking and custom embedding models, reducing resolution time by over 70%\. Patent pending\. \- Designed a validation pipeline generating 7,000\+ QA pairs using LLM\-as\-Judge with human\-in\-the\-loop review to ensure production reliability\. \- Maintained LLM Ops infrastructure covering model evaluation, retrieval benchmarking, and improvement cycles\. \- Led cross\-functional integration efforts to connect the AI system with existing banking workflows\.

Senior Data Scientist at Zee Entertainment Enterprises Limited, Apr 2021 \- Mar 2024 · 3 yrs, Bengaluru, Karnataka, India, \- Worked on India's first production music generation model, enabling text\-to\-music creation bridging Indian and Western instruments, built on Meta's MusicGen with a 5\-member team\. \- Delivered Zee's first in\-house recommendation model using LightFM, combining collaborative filtering and content\-based features for personalised discovery, growing effective catalog from 65 to 430 titles and contributing to a 9\.6% watch\-time uplift across 2M\+ users\. \- Built a conversational recommendations bot using ChatGPT 3\.5 Turbo for multi\-catalog user intent understanding\.

Data Scientist at Zee Entertainment Enterprises Limited, Jul 2020 \- Apr 2021 · 10 mos, Mumbai, Maharashtra, India, \- Deployed an AutoML\-based batch prediction model for personalised CLM outreach, contributing to an 80% increase in subscriber conversions\. \- Built time\-series forecasting and decay models for subscription and watch\-time trajectories, supporting scenario planning that contributed to a 2% revenue lift\. \- Created demand elasticity models for pack pricing optimisation, contributing to 12% growth in customer LTV\. \- Automated ETL and BI workflows, saving 30\+ human hours daily\.

Data Science Intern at Zee Entertainment Enterprises Limited, Jan 2020 \- Jun 2020 · 6 mos, Mumbai Area, India, \- Built anomaly detection and forecasting models that reduced average platform downtime from 6 hours to 1 hour, with real\-time multi\-threshold alerting\.

Data Science Intern at Siemens Healthineers, May 2019 \- Jul 2019 · 3 mos, Bengaluru Area, India, \- Designed a scalable ETL pipeline to process global ultrasound machine logs, extracting structured data from ZIP archives without full decompression\. \- Automated log parsing and storage in MongoDB, enabling interactive insights into probe usage by country, region, and machine type\. \- Built an XGBoost classification model for predictive maintenance, achieving 83% accuracy and contributing to a 10% reduction in machine downtime\.

Social Media Analyst at XOR Labs, Mar 2017 \- Jul 2018 · 1 yr 5 mos, Mohali, Punjab, India, \- Built a social media ROI analysis framework to measure campaign performance across IPL and global sporting events\. \- Developed predictive models for audience engagement, contributing to published industry benchmarks in sports analytics\. \- Combined data analysis with marketing strategy to deliver actionable insights for brand and campaign decisions\.

Cofounder at GharTool, Mar 2016 \- Feb 2017 · 11 mo, Bathinda

## Education

M\.Mgt\., Business Analytics, Indian Institute of Science \(IISc\)

Bachelor of Technology \(B\.Tech\.\), Civil Engineering, Giani Zail Singh Punjab Technical University Campus

## Profile highlights

What I'm currently working on: I am currently building enterprise\-scale GenAI virtual assistants and RAG pipelines to improve banking procedure search accuracy\.

The last shipped feature I'm proudest of…: I led the development of India's first production\-ready music generator model by fine\-tuning Meta's MusicGen for instrument playback\.

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

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