---
title: "Lalit Shrotriya - Senior Data Scientist / AI-ML Engineer in Mumbai | Tal"
description: "Meet Lalit Shrotriya, Senior Data Scientist @JM Financial | GenAI · RAG · Agentic AI · LLMs | AI Researcher | CFA L1 Candidate | 2nd Rank CSE AI/ML Hons’24 @SIT Pune | DBM Topper’22 @SIBM Pune based in Mumbai. AI stack includes codex, opencode, and claudecode."
image: "https://tal.club/meet/lalit-shrotriya/share-image"
---

# Lalit Shrotriya on Tal

## Headline

Senior Data Scientist @JM Financial \| GenAI · RAG · Agentic AI · LLMs \| AI Researcher \| CFA L1 Candidate \| 2nd Rank CSE AI/ML Hons’24 @SIT Pune \| DBM Topper’22 @SIBM Pune

## About

Senior AI/ML Engineer & Data Scientist with hands\-on experience building and shipping production systems across the GenAI stack — from RAG pipelines and agentic workflows to real\-time event infrastructure and multi\-model LLM orchestration on GCP, AWS, and Azure\. I work at the intersection of applied machine learning and scalable backend engineering\. The focus has always been on systems that perform in production, not just in demos — with measurable business impact attached to everything I build\. Whether it's reducing operational failures at scale, cutting infrastructure costs meaningfully, or deploying agentic AI that replaces expensive SaaS contracts — the bar I hold myself to is outcomes, not activity\. My domain has been financial services — a space where accuracy, compliance, and reliability aren't optional\. That context has sharpened how I think about ML systems: edge cases matter, latency matters, and the cost of getting it wrong is real\. Beyond engineering, I publish research — in Elsevier MethodsX \(Scopus Q1\), IEEE, and IIETA\. I'm also a CFA Level I candidate, which keeps my thinking grounded in the financial domain I've spent my career in so far\. I believe the best ML engineers in fintech understand the business they're building for — not just the models they're deploying\. I'm based in Mumbai, and at this point in my career, I'm looking for the right next challenge — a role where the ambition is high, the team is sharp, and the work leaves a mark\. Industry, stage, or work model — none of that is a dealbreaker if everything else lines up\. 📩 lalit\.shrotriya@outlook\.com

## Location

Mumbai

## AI stack

codex

opencode

claudecode

## Work experience

Senior Data Scientist / AI\-ML Engineer at JM Financial Ltd, Jun 2024 \- Present · 2 yrs 3 mos, Mumbai Metropolitan Region, Building and shipping production AI/ML systems across the full GenAI stack — RAG pipelines, agentic AI, real\-time event infrastructure, and multi\-model LLM orchestration on GCP, AWS Bedrock, and Vertex AI\. • Architected a production RAG system \(dense embeddings → vector DB\) with FastAPI/nginx on GKE, powering the firm's enterprise AI platform with multi\-model LLM orchestration across Vertex AI, AWS Bedrock, and on\-device SLMs via Ollama • Built a risk\-aware allocation engine with regulatory compliance logic — measurably reduced order failures and improved revenue contribution in a SEBI\-regulated product line • Designed a reinforcement learning\-driven nudge engine on GCP for multi\-channel personalisation with automated segmentation workflows across two live product lines • Developed real\-time anomaly detection pipelines surfacing suspicious trading behaviour, with automated alerting and risk\-team handover workflows • Engineered resilient streaming ETL pipelines on Kubernetes and Cloud Run — significantly reduced middleware infrastructure costs • Built an agentic AI analytics platform with 13 function\-calling tools over OLAP/relational DBs for autonomous multi\-step reasoning from natural language — demonstrated significant cost savings vs\. incumbent SaaS contract • Winner — Thrive\-A\-Thon 1\.0 \(2025\) for Intellecto, an AI\-powered interview platform with real\-time ASR/TTS, ML scoring, and anti\-cheat detection • Recipient of the Roadies Debut Award — top performer recognition, Jan–Mar 2024

AI Researcher Fellow at SCAAI \- Symbiosis Centre for Applied AI, Aug 2022 \- Present · 4 yrs 1 mo, Pune District, Conducting applied AI research at Symbiosis Centre for Applied Artificial Intelligence \(SCAAI\), focused on computer vision, medical imaging, and deep learning systems\. Published research in peer\-reviewed international journals — Elsevier MethodsX \(Scopus Q1\), IEEE, and IIETA — covering pneumothorax detection, brain tumor segmentation, and real\-time data analysis architectures\.

Data Science Intern at JM Financial Ltd, Jan 2024 \- May 2024 · 5 mos, Mumbai, Began as a Data Science Intern within JM Financial's technology division, contributing to data engineering, ML pipelines, and analytical systems for BlinkX — the firm's retail trading platform\. Worked on real production systems from the start, and transitioned to a full\-time role within 5 months based on performance\.

Martian Summer Internship Programme at Persistent Systems, Jun 2023 \- Aug 2023 · 3 mos, Pune District, Selected for Persistent Systems' competitive GEMS \(Graduate Engineering Multidimensional Skill\) programme\. Worked on applied engineering problems in a structured remote environment, gaining exposure to enterprise software development practices and cross\-functional team collaboration\.

## Education

Bachelor of Technology \- BTech, Computer Science And Engineering with Honours in Artificial Intelligence and Machine Learning, SIT\- Symbiosis Institute of Technology

Minor In Business Management \(DBM\), Symbiosis Institute of Business Management, Pune

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

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