Swarnendu Bhattacharya

Leads the industrialisation of enterprise-grade Agentic AI platforms, including ontology design and orchestration frameworks for large-scale deployments such as Google Gemini. Focuses on production-ready architectures that are governed, observable, and resilient across multi-cloud environments.

Guides senior data scientists, applied researchers, and technology leaders through advanced engineering patterns required to build production-grade, zero-defect AI infrastructure. Focuses on first principles, structural math, and durable system architecture.

Director-scoped mandate covering strategy, architecture, team building, vendor governance, and P&L across 90+ global markets.

Led enterprise-wide AI transformation across global supply chain, owning end-to-end forecasting and decision intelligence systems delivering £2.5M+ impact across 30+ markets. Architected and deployed a zero-shot transformer-based forecasting platform, reducing stockouts by 20% and improving demand accuracy by 4-5%.

Led healthcare analytics transformation for CVS Health Insurance, applying advanced NLP and ML techniques in a highly regulated domain. Built a document intelligence system using deep learning NLP to extract and classify ICD-10 codes, cutting claims processing time by 35%.

Drove credit risk analytics initiatives for a major U.S. credit card company, delivering measurable ROI while ensuring compliance with strict financial regulations. Designed and deployed end-to-end credit risk models, improving quarterly ROI by 10% and reducing default exposure.

Conducted quantitative research and alpha generation across US, Asian, and European markets, applying advanced statistical and ML techniques. Created market indicators using time series analysis and statistical modeling, and generated alphas with WebSim Fast Expression Operators.

Managed systematic trading strategies across multi-asset classes, focusing on automation and alpha generation. Designed, programmed, and backtested pairs trading strategies, optimizing for consistent returns and delivering on target returns of ~5% monthly.

Micro-Masters in Supply Chain Analytics from MITx on edX, completed from August 2022 to August 2024.

Executive Programme in Algorithmic Trading (EPAT) with a focus on deep learning guided trading and finance.

Ph.D. in Mechanical Engineering and Operations Research from IIT Bombay, with a Boeing-sponsored focus on optimisation and operations research.

M.Tech in Welding Engineering from NIT Tiruchirappalli, completed from 2011 to 2013.

B.Tech in Mechanical Engineering from West Bengal University of Technology, Kolkata.