Venkat Medisetti

Venkat Medisetti has had an extensive career in the technology and finance sectors. Venkat is currently a member of the founding team and serves as the Head of Engineering at ScanPay. Prior to that, Venkat held the role of Vice President and Core Engineering India Head for Credit Risk at JPMorgan Chase & Co., where they led the modernization of the Credit Risk platform and established a hybrid cloud infrastructure.

Before joining JPMorgan Chase & Co., Venkat worked at Bank of America as an Assistant Vice President and Liquidity Technology India Head for Corporate Treasury. In this role, they built applications for Enterprise Liquidity Management and addressed regulatory requirements such as Basel III, GRRP, and Dodd-Frank. Venkat also developed ML chatbots, data analytic models, and a high-performance Data Quality rules engine.

Venkat began their career at Infosys as a Presales Solutions Architect before joining Capgemini. At Capgemini, they played a key role in building enterprise solutions for credit cards, settlements, fraud, and consumer lending. Venkat worked on projects for Capital One (formerly HSBC), designing robust and scalable solutions for credit and retail cards, handling millions of real-time transactions per day. Venkat also led globally distributed cross-functional teams, including engineering, product, and user experience designers.

Overall, Venkat Medisetti has a strong background in engineering, technology, and finance, with experience in leadership, solution architecture, and driving modernization within large organizations.

Venkat Medisetti has a Master of Technology (MTech) degree in Data Science from Birla Institute of Technology and Science, Pilani. Prior to that, they completed a Bachelor of Technology (BTech) degree in Engineering from JNTUH College of Engineering Hyderabad. In addition to their formal education, they have obtained several certifications, including "Recovering from data processing errors by data error detection and correction," "Correcting data errors for data processing Fault Recovery," and "Dynamic transformation code prediction and generation for unavailable data element." The specific dates of completion for their degrees and certifications are not provided.