---
title: "Shubham Jain - Forward Deployed Engineer (Data Scientist) in India | Tal"
description: "Meet Shubham Jain, Data Scientist | GenAI & Agentic AI Systems | LLM, RAG | Aditya Birla Group based in India. AI stack includes claude code, claude, and github copilot. Explore public work links including superbham26.github.io."
image: "https://tal.club/meet/shubham-jain-17/share-image"
---

# Shubham Jain on Tal

## Headline

Data Scientist \| GenAI & Agentic AI Systems \| LLM, RAG \| Aditya Birla Group

## About

Most AI in production fails for a boring reason: the model is right and nobody does anything about it\. I work on the other half of that problem\. At Aditya Birla Group I build agentic systems where an LLM supervisor decides which tool the question actually needs — an optimizer, a forecast model, a RAG index, a SQL agent — and returns something a operator can act on in the next thirty minutes\. Not a dashboard\. A decision\. That means the hard parts are unglamorous\. Intent classification that doesn't misroute\. Memory layers that don't hallucinate context\. Prompts that behave identically on Monday and Friday\. Evaluation harnesses for outputs that have no ground truth\. Most of my week is spent making a system fail loudly instead of quietly\. The pattern goes back further than the GenAI work: — A calcination digital twin where custom algorithm cuts energy use 10%, because the optimizer respected constraints operators actually cared about — An AI\-ML fraud detection hybrid: 18% better detection, 40% less manual review, adopted because reviewers could see why — Spatiotemporal disease hotspot detection flagging weeks early, Rs 5M\+ in value — OPC UA sensor pipelines from four production lines into Databricks and PostgreSQL, wrapped in Azure DevOps CI What I'm actually good at: holding the line where machine learning meets messy reality\. Turning a domain expert's intuition into a feature\. Knowing a model is wrong before the dashboard does\. Translating model behavior into something an executive will act on\. Python, SQL, PySpark, LangChain, LangGraph, RAG, vector search, prompt engineering, LLM evaluation, XGBoost, SHAP, time series forecasting, causal inference \(DoubleML\), optimization \(GA/PSO\)\. BTech, Data Science & Economics — Plaksha University, CGPA 9\.0\. Data Scientist · Decision Scientist · Generative AI Engineer · AI Engineer · Machine Learning Engineer\. If your data has to run a system instead of describe one, I'm interested\.

## Location

India

## AI stack

claude code

claude

github copilot

claudecode

Microsoft Copilot

## Work experience

Forward Deployed Engineer \(Data Scientist\) at Aditya Birla Management Corporation Pvt Ltd, Jan 2026 \- Present · 10 mo, Bengaluru, Karnataka, India, Architecting and deploying a production multi\-agent AI system orchestrating optimization engines, predictive models, RAG pipelines, and SQL query agents — using prompt engineering, retrieval grounding, and deterministic routing for explainable agent behavior, surfaced as a no\-code stakeholder dashboard that eliminated manual analytical intervention\. Designed a manufacturing digital twin optimized via Particle Swarm Optimization \(PSO\) and causal inference \(DoubleML\) — enabling operators to act on data\-backed prescriptions rather than running physical experiments, shifting plant\-level decision\-making from intuition to model\-driven action\. Stack: Python, LangChain, RAG vector databases, Azure OpenAI, Databricks, PySpark\.

Management Trainee \(Data Scientist\) at Aditya Birla Management Corporation Pvt Ltd, Jul 2025 \- Jan 2026 · 7 mos, On\-site, Designed, trained, and deployed an LLM\-XGBoost hybrid model for insurance claims fraud detection — achieving an 18% accuracy uplift over the prior model\. High research potential for hybrid LLM\-ML classification systems\. Built a spatiotemporal ML model for early disease hotspot detection integrating geospatial and temporal signals for multi\-week risk forecasting — a first\-of\-its\-kind approach with no prior benchmark — generating Rs\. 5M\+ in business value and establishing a new standard for proactive public health risk intelligence\.

Data and Analytics Trainee at Aditya Birla Management Corporation Pvt Ltd, Jan 2025 \- Jun 2025 · 6 mos, On\-site, Fine\-tuned an LLM for insurance claims fraud detection, integrating AI\-driven validation into classification workflows and to surface human\-readable reasoning behind fraud decisions — reducing manual processing time by 40%\. Architected scalable data pipelines on Databricks optimised with PySpark, ingesting high\-frequency OPC UA sensor data from 4\+ manufacturing lines into a centralized PostgreSQL database; managed CI workflows on Azure DevOps following MLOps best practices

Project Intern at Fractal, Jun 2024 \- Aug 2024 · 3 mos, \- Identified high\-growth opportunities for AWS Marketplace partners through predictive modeling and customer segmentation, directly influencing strategic partner positioning and driving targeted outreach\. \- Led cross\-functional A/B testing initiatives with marketing teams, resulting in a 10% lift in conversion rates and an increase in user engagement\. \- Developed and published data\-driven case studies that showcased AWS Marketplace partner solutions, leading to a boost in partner solution visibility and improved stakeholder buy\-in through clear demonstration of measurable business impact\.

Quant Analyst at Subhkam Ventures, Jun 2023 \- Jul 2023 · 2 mos, South Mumbai, Maharashtra, India, \- Engineered and backtested 20\+ quantitative trading strategies using moving averages and technical indicators on NIFTY and BANKNIFTY F&O data, improving strategy profitability by 15–25% over baseline benchmarks\. \- Analyzed historical closing prices for 1,102 NSE500 cash stocks to design optimized RSI\-based portfolios, achieving enhanced Sharpe ratios and consistent risk\-adjusted returns across multiple time frames\. \- Collaborated within a cross\-functional team, presenting data\-driven insights and portfolio outcomes, which increased team engagement and improved collective decision\-making\.

## Education

Bachelor of Technology \- BTech, Computer Science, Plaksha University

DPS Surat

## Public links

- superbham26\.github\.io: https://superbham26\.github\.io/portfolio

[View the original profile](https://tal.club/meet/shubham-jain-17)

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