Resume

Business-technical operator focused on product ownership, financial crime, national security, data governance, AI-enabled risk systems, and financial infrastructure.

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Professional Summary Technical training, financial infrastructure, client-facing finance, and compliance execution

I bring a rare combination of deep technical training, financial-market infrastructure experience, client-facing finance experience, and hands-on financial regulatory compliance execution.

I began with a strong foundation in mathematics, analytics, and computer science in India, where I ranked 668 nationally in the Joint Entrance Examination and joined IIT Kharagpur for a dual degree in Computer Science and Engineering. I later completed a Master of Science in Operations Research at Columbia University, with a focus on data analytics and financial applications, and an MBA from Columbia Business School focused on finance and product management.

Across Bloomberg, Bank of America, and entrepreneurial work, I have worked at the intersection of data, financial systems, product execution, and business strategy. I am especially interested in how financial institutions can translate regulation, risk, and operational ambiguity into scalable product, data, and governance systems.

Professional Positioning Business-technical operator connecting regulation, risk, product, data, and execution

My strongest professional fit is not as a pure engineer, pure banker, or pure compliance professional. It is as a business-technical operator who can translate risk, regulation, product requirements, market structure, and ambiguous business needs into scalable systems and operating models.

That combination is especially relevant now. Financial institutions are modernizing compliance programs, integrating AI, responding to faster payment rails, and preparing for broader digital-asset adoption. These shifts require people who understand data systems, financial products, regulatory expectations, product ownership, and business execution at the same time.

My background across IIT computer science, Columbia operations research, Bloomberg financial-data infrastructure, Columbia Business School, Bank of America investment banking, and sanctions compliance gives me that bridge.

Current Focus

Product Management & Ownership Strategy, stakeholder alignment, execution, and cross-functional delivery

Product strategy, stakeholder alignment, project execution, operating models, requirements translation, and ownership of cross-functional delivery.

Financial Crime & National Security Sanctions, AML, fraud risk, screening governance, and control execution

Economic sanctions, AML, fraud risk, screening governance, control remediation, lookback analysis, change management, and continuous monitoring.

Data, AI & Governance Data integrity, model governance, auditability, and explainable systems

Data integrity, model governance, explainability, auditability, AI-enabled detection, and defensible compliance workflows in regulated environments.

Financial Infrastructure Blockchain, digital assets, payments, stablecoins, and structured products

Blockchain, digital assets, payments, stablecoins, structured products, transaction systems, ETL automation, and financial-system resilience.

Professional Experience

Bank of America — Global Financial Crimes / Global Economic Sanctions Technology Oversight 2025–Present · New York, NY · Sanctions, technology oversight, regulatory remediation, and control execution

I currently work within Global Financial Crimes compliance, with a focus on economic sanctions, technology oversight, regulatory remediation, product ownership, project management, and control execution. This work sits close to national security because sanctions programs are one of the primary ways financial institutions help implement U.S. economic and foreign-policy restrictions in practice.

My work has involved consent-order-related requirements, change management, lookback analysis, and ongoing monthly monitoring routines. I help coordinate across senior stakeholders, junior team members, control partners, technology teams, and business stakeholders to move complex regulatory and technology initiatives from ambiguity into structured execution.

In practice, this means translating regulatory expectations, risk issues, data gaps, and technology dependencies into project plans, governance routines, documentation, and repeatable operating processes. I have taken ownership of multiple projects, coordinated work across teams, and built a reputation for being able to connect technical detail with business and compliance judgment.

The core challenge is not simply identifying risk; it is building systems that remain complete, reliable, explainable, and defensible as data, models, payment rails, and platforms change.

Bank of America — Investment Banking Associate 2023–2025 · New York, NY · Middle-market coverage, financial modeling, and client-facing finance

Prior to joining financial crimes, I worked in investment banking, focused on emerging-growth and regional middle-market coverage. The team advised companies with meaningful growth ambitions and complex financing, strategic, and market-positioning needs.

I worked on financial modeling, investor presentations, market update materials, internal approval memos, and client-facing transaction materials. My work included valuation, operating models, three-statement models, debt and equity financing analysis, and strategic materials for senior bankers and clients.

I also worked directly with senior bankers, junior team members, and C-suite executives, particularly CEOs and CFOs of middle-market companies. That experience sharpened my ability to explain complex financial issues clearly, manage demanding processes, and connect analysis to business decisions.

During this period, I passed the SIE, Series 63, and Series 79 qualification exams.

Bloomberg LP — Structured Products, Ownership Analytics, and Financial Data Engineering 2016–2021 · New York, NY · Financial data infrastructure, structured products, ETL, and ownership analytics

At Bloomberg, I worked across structured products, collateral data, cashflow modeling, ETL automation, and ownership analytics. This experience gave me a deep understanding of financial data infrastructure and the importance of reliable data pipelines in markets where accuracy directly affects pricing, transparency, and risk decisions.

I began as a cashflow modeler in the structured-products and mortgage-backed securities space, where I used Python and internal tools to model cashflows and validate financial data for structured products. I later became a software engineer and senior software engineer in structured-products collateral, focusing on ETL processes for agency and non-agency asset-backed securities, including RMBS, CMBS, credit-card assets, and related collateral data.

In 2020, I moved internally into the Investor Ownership team, a more technical full-stack role involving C++, backend systems, and frontend responsibilities. That work exposed me to ownership data, investor holdings, regulatory intelligence, and market-transparency systems.

The Bloomberg experience remains central to my professional identity: it taught me how financial systems depend on data quality, automation, validation, and scalable infrastructure. Those lessons now directly inform my work in sanctions, AML, and compliance governance.

FullOnWedding — Co-Founder & CTO 2016–2018 · New York / India · Product design, analytics, recommendation logic, and marketplace building

I co-founded FullOnWedding, an online wedding-planning platform connecting couples with wedding professionals. The platform scaled into a large operational marketplace before being acquired by OYO.

As co-founder and CTO, I worked on product design, data collection, analytics, recommendation logic, platform performance, and team building. The experience taught me how to build under uncertainty, manage product-market ambiguity, and convert fragmented offline workflows into a digital operating system.

This startup experience is important to my current profile because it adds an operator’s perspective. I do not see technology only as code; I see it as a way to organize decisions, incentives, workflows, and trust.

Flipkart — Graduate Management Trainee 2013–2014 · Bangalore, India · Business development, catalog operations, data analysis, and execution

After graduating from IIT Kharagpur, I joined Flipkart, one of India’s leading e-commerce companies, as a graduate management trainee. Rather than starting as a conventional software engineer, I chose a business-facing role in business development and content management.

I worked across data analysis, catalog operations, warehouse coordination, and senior-management reporting. This early role helped me understand how technology companies operate at scale, especially when business processes, data quality, and execution discipline must work together.

Education

Columbia Business School 2021–2023 · New York, NY · MBA, finance, strategy, and product management

MBA with focus on finance, strategy, and product management.

Columbia University 2014–2016 · New York, NY · M.S. in Operations Research

Master of Science in Operations Research, with focus on analytics, optimization, and financial applications.

Indian Institute of Technology, Kharagpur 2008–2013 · Kharagpur, India · Dual degree in Computer Science and Engineering

Dual degree in Computer Science and Engineering, including B.Tech and M.Tech coursework. IIT JEE All India Rank: 668.

Research & Writing Global financial crime, sanctions, AI-enabled fraud, stablecoins, tokenization, and economic statecraft

My current research and public writing focus on global financial crime, sanctions, AML governance, AI-enabled fraud, stablecoins, tokenization, economic statecraft, and the role of financial infrastructure in national security.

The broader theme is simple: modern financial systems are no longer just commercial infrastructure. They are also governance systems, enforcement systems, and increasingly, national-security systems. My work studies how these systems can remain reliable, explainable, and resilient as finance becomes more digital, automated, and globally connected.

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Selected Credentials

Technical Foundation Computer science, Python, C++, SQL, ETL, analytics, and automation

Computer science, Python, C++, SQL, ETL systems, financial data pipelines, analytics, automation, and model-driven workflows.

Finance Foundation Investment banking, valuation, structured products, capital markets, CFA Level I, SIE, Series 63, Series 79

Investment banking, financial modeling, valuation, structured products, mortgage-backed securities, asset-backed securities, and capital markets. Passed Level I of the CFA Program, and passed SIE, Series 63, and Series 79.

Regulatory & Risk Foundation Sanctions compliance, AML governance, monitoring, remediation, and stakeholder coordination

Sanctions compliance, AML governance, consent-order execution, lookback analysis, monitoring routines, project management, product ownership, and stakeholder coordination.