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