I build and scale data organizations that make AI production-ready in regulated industries.
Deep expertise in reference data management across asset classes — equities, fixed income, derivatives, and indices. Built strategic solutions aligning with BCBS 239, FATCA, and global regulatory standards at Nomura and SmartStream.
Led Finance Reference Data & Pricing at JPMorgan Chase as Vice President. Designed logical data models, mapped Critical Data Elements end-to-end, and drove modernisation across pricing, margin calculation, and client onboarding.
Engineering Manager at Tesco directing teams building demand forecasting algorithms and data-serving layers for retail supply chain. Established SDLC governance and data quality frameworks powering one of the world's largest grocery supply chains.
Leading cross-functional teams building scalable platforms, from microservices to data-serving layers at enterprise scale.
Designing reference data architecture, logical data models, and enterprise data strategies across global institutions.
Establishing policy, compliance, and quality standards across data lifecycles for regulated financial and retail environments.
M.Tech in Data Science from BITS Pilani. Published research in quantitative finance, neural networks, and predictive modelling.
Most organizations chase AI without fixing their data foundations first. Twenty years of building reference data platforms at JPMorgan Chase and Nomura, forecasting systems at Tesco, and governance frameworks across regulated industries taught me this: the leaders who win at AI aren't the ones with the best models — they're the ones with the cleanest data, strongest governance, and clearest strategy for taking AI from pilot to production.
Advanced study in machine learning, statistical modelling, and data systems while simultaneously serving as VP at JPMorgan Chase. A deliberate investment in building the academic foundations for AI leadership.
Rigorous program in derivatives pricing, risk management, and quantitative methods. Rare combination with data engineering leadership — bridging quant finance and modern data science.
Built an end-to-end system combining NLP sentiment models with technical indicators for equity price prediction. Early hands-on work with neural networks and NLP in a financial context.
Implemented the HJM framework for interest rate derivative pricing. Additional research in pricing hedged exotics using uncertain volatility models. Published paper on Neural Networks & Fuzzy Logic at national symposium.
Built 3+ engineering squads (15+ engineers) from scratch — hired, mentored, and led data engineers and backend developers delivering demand forecasting algorithms and data-serving layers for 4,000+ Tesco stores. Sustained full application delivery after lending 5 of 6 API engineers to a critical company initiative for a year — redesigned capacity utilization, cross-trained a new joiner, and maintained SLAs with no service degradation. Established SDLC governance and data quality frameworks across the org.
India lead for Finance Reference Data — owned a modernisation portfolio of 10+ applications with focus on scalability and resilience. Served as CDO for Pricing Reference Data: designed enterprise logical data models, mapped Critical Data Elements end-to-end. Led decommissioning of legacy platforms (Common Master, RDM) with zero existing documentation — reverse-engineered business logic end-to-end, ensured gap-free migration. Sat on AI/ML strategy committee identifying use cases across the Pricing & Finance Tower.
Led cross-regional teams delivering reference data solutions across equities, fixed income, derivatives, and indices — aligned with BCBS 239 and FATCA. Built global data governance and quality frameworks from scratch. Owned delivery for global margin calculation and client onboarding programs. Collaborated with third-party consultants to benchmark governance maturity.
Designed data models for legal entity data and credit ratings integration. Engineered scalable client onboarding solutions for reference data utilities serving global financial institutions.
Built operational and compliance frameworks through custom libraries and optimized architectures. Delivered reconciliation and compliance solutions collaborating with third-party vendors across financial services.
Open to senior leadership conversations in data, AI, and engineering. Available for Director and above roles, strategic advisory, and speaking engagements.