AI, Agentic, Product, LLMs, RAG, Fraud, AML

He is a Technical Product Manager specializing in Data, AI, and Financial Services, currently working at XXXX in New York. With over five years of experience, he has built and scaled data products, AI platforms, and analytics solutions across banking, fintech, fraud analytics, payments, and regulated financial environments. At Barclays, his responsibilities include leading AI and data product initiatives, gathering business requirements and translating them into technical specifications, collaborating with engineering teams on architecture and solution design, managing stakeholder relationships across business and technology teams, and building enterprise AI systems in highly regulated environments. He also drives product strategy, roadmap, and execution. Recently, he has been spearheading the development of an Agentic AI/LLM platform that supports payment operations at scale, handling millions of transactions while ensuring strict governance and compliance. Prior to Barclays, he worked as a Product Manager in Fraud Analytics, where he focused on fraud detection systems, AML processes, and fraud prevention platforms. Before that, as a Product Analyst at XXXX, he launched an AI-powered Document Intelligence Platform, owned the product lifecycle from ideation through go-to-market, and scaled it to multi-million-dollar revenue within a year, serving BFSI and insurance customers.

2.       What skill(s) / experience would you self-describe as strongest or specialist in?

He specializes in AI Product Management, Data Platforms, Enterprise AI, Financial Technology, Fraud Analytics, and Product Strategy. His enterprise AI experience includes building and deploying production-grade systems in governed environments, with a strong focus on compliance, safety, and responsible AI practices. At XXXX, he is leading the development of agentic AI systems powered by LLMs, directly involved in RAG and LLM architecture, cost optimization, and token economics. His financial services expertise spans banking, fraud analytics, and AML exposure, with hands-on product delivery in highly regulated environments. He has also demonstrated leadership in data product management, owning initiatives around Databricks, building XXXX’ internal data marketplace, and managing large-scale platforms serving broad user groups. Beyond technical execution, he excels in product leadership, managing relationships with executive stakeholders, business owners, technology teams, and data teams. His cross-functional leadership enables him to influence engineering teams without direct reports, while his technical product management skills ensure deep involvement in architecture, solution design, and implementation approaches.