Sambit Behura is a data scientist and AI/GenAI engineer — a PGDBA from IIM Calcutta, ISI Kolkata & IIT Kharagpur, and a B.Tech from NIT Trichy, with 9+ years of professional experience, including 6.5+ years across McKinsey, American Express, and consumer lending. He built the scorecards and experiments that drove ~$200M in incremental business, and is now applying that same rigor to designing, evaluating, and deploying production multi-agent RAG systems.
Built a personal-loan cross-sell model with XGBoost and Random Forest, targeting early-tenure consumer-durable and two-wheeler loan customers.
Built U GRO's first-generation business-loan scorecard from scratch — 1,000+ engineered features from bank statement and bureau data, shipped as a logistic regression model (GINI ~0.80) that became the core of underwriting.
Monitored and validated Application, Behavioural, and Collection credit risk models via GINI, PSI, and CSI stability metrics — catching drift and recommending recalibration.
Moved from Client Onboarding & Digital Capabilities into the AI & Modeling team over 3.5 years. Built an XGBoost B2B recommendation model (GINI 0.85, 70+ features) and quantified ~$200M in incremental billed business through randomized test-control experimentation.
Built fraud detection models for a Long Term Care insurance client, flagging anomalous claim patterns from claims behavioral data.
Shifted from predictive scorecards to production agentic AI — designing, evaluating, and deploying multi-agent RAG systems on AWS, with the same rigor around GINI/PSI monitoring now applied to LLM-as-judge evaluation.
A compliance-grade RAG pipeline that grounds card-network chargeback defenses in the actual Visa/Mastercard rule text — not the model's memory of it.
A multi-agent workflow that reads six years of American Express 10-K filings and benchmarks them live against Visa and Mastercard — then checks its own arithmetic.
A GPT-4o vision agent that inspects loan documents the way an underwriter would — checking three distinct fraud-detection scenarios rather than a single classifier score.
Currently exploring GenAI/agentic AI engineering and data science roles at BFSI-focused GCCs, fintech product companies, and AI consulting firms — open to relocation across Bengaluru, Hyderabad, Gurugram, and Mumbai.