Sumit Shekhar Research Profile

About

At JPMorgan Chase, my focus is on steering growth of our product suite of Cloud Infrastructure Services, ensuring exceptional customer experiences across retail product suite. Managing relationships with key business partners like OpenAI, Nvidia, AMD, and Intel. Sumit S. is a seasoned Product Leader in FinTech, currently driving innovations at JPMorgan Chase. With over a decade of experience in product management, cloud infrastructure, and strategic partnerships, his career reflects a deep commitment to transforming customer experiences through cutting-edge technologies and inclusive leadership. At JPMorgan Chase, Sumit’s focus is on advancing the company’s cloud infrastructure initiatives, particularly in serverless computing, Kubernetes, and AI-powered GPU compute services. His leadership extends across multiple business lines and functions, enhancing retail excellence through scalable solutions and strategic innovation. A key aspect of Sumit’s work is forging and managing strategic alliances with tech giants such as NVIDIA, AMD, and Intel. These partnerships have enabled JPMorgan Chase to maintain its competitive edge in the rapidly evolving FinTech landscape. By integrating advanced AI and cloud solutions, Sumit ensures that the company’s services remain customer-centric, agile, and resilient. His expertise in cloud platforms like AWS and Azure has been instrumental in deploying over 1,000 global applications, aligning with the organization’s long-term digital transformation goals. Sumit’s experience extends beyond technical leadership. He is deeply invested in fostering an inclusive culture at JPMorgan Chase, where he leads diversity and inclusion initiatives. His contributions to the Product Management Community of Practice have not only strengthened internal collaboration but also encouraged knowledge-sharing among cross-functional teams. He believes in creating environments where innovation thrives and where diverse perspectives fuel new ideas and solutions. His involvement in innovation incubation and book club initiatives demonstrates his holistic approach to leadership—one that blends professional growth with personal enrichment. Before his role at JPMorgan Chase, Sumit held several high-profile positions in leading organizations such as T-Mobile, Toyota Financial Services, and Overstock. At T-Mobile, he led SaaS product management in the supply chain space, focusing on scaling cloud-based solutions. During his time at Toyota Financial Services, he was the head of compute products (PaaS, IaaS, SaaS) on AWS, where he redefined the organization’s cloud strategy to support business growth and efficiency. At Overstock, Sumit’s dual role as a Senior Director of Solution Architecture and Product Program Management gave him an extensive understanding of supply chain, warehouse management, and eCommerce integration. Sumit’s academic background includes executive education from prestigious institutions like Harvard Business School, MIT Sloan School of Management, and Columbia Engineering. He has completed specialized programs in FinTech, AI, and business strategy, which have equipped him with a forward-thinking mindset. His HarvardX FinTech certification for product leaders and MIT AI and Business Strategy course reflect his continuous learning approach and dedication to staying at the forefront of industry trends. As a thought leader in FinTech, Sumit actively participates in the broader product management community. His recent engagements include promoting career growth strategies and knowledge-sharing initiatives for aspiring product managers. Sumit’s blend of technical expertise, strategic vision, and people-centric leadership makes him a transformative figure in FinTech, consistently driving innovation and excellence in the organizations he serves. The integration of GPU and AI Compute into our services is central to the innovative, secure solutions we develop, which are designed to elevate profitability and satisfaction for our clients. My leadership extends to cultivating an organizational culture that prioritizes Diversity, Equity, and Inclusion, as evidenced by my involvement in the Busting Bias Book Club in FinTech. With my guidance, our team has successfully executed a global deployment of XXXX applications, advancing JPMC's position at the forefront of FinTech and setting new benchmarks in the industry.

Skills

Experience

JPMC Product Leadership (L7)

JPMorganChase Institute

Sep-2022 to Present

Education

Columbia University (CU)

MSc in Computer Science

Passout Year: 2024

Pennsylvania State University-University Park

MBA in Supply Chain Management

Passout Year: 2021

Publication

Research Article

Pattabi Ramarao Thumati

October, 2024

Architecting Scalable Big Data Solutions on Cloud Platforms for Real-Time Analytics-1

Journal : JES - Journal of Electrical Systems

In the era of digital transformation, organizations increasingly rely on real-time analytics to drive decision-making and optimize operations. We examine the key components, including data i...

Peer-Reviewed Articles

A METHOD FOR ENDPOINT AWARE INSPECTION IN A NETWORK SECURITY SOLUTION

Due to the flood in remote work after the episode of Covid, network security has gained a giant fixation. The issue of mixed-up audit decisions in network security plans has for quite a while been reprimanded, but the meaning of the decision precision has never been overall around as critical as today. In this paper we offer a response for additional fostering the assessment decision accuracy by deciding a method for endpoint careful survey in an association security plan prepared for performing significant package examination. The method utilizes a subset of the protected association to gather hash fingerprints from the endpoint application network traffic plans. The information collected from this subset is then utilized for procuring endpoint care for the rest of the protected organization. We use strategies that work on the application layer of the show stack. This makes the strategy fitting not only for neighborhood executions, as NGFWs and IPSs, yet also for SaaS and SASE game plans. The methodology is, regardless, conveniently utilized with lower layer information, for instance, association and transport layer information, for working system care too. We similarly present a proof-of-thought context-oriented examination where that is the thing we see, of the relevant association affiliations, 100% could be recognized while the functioning system and endpoint application were accessible in the source pack. All things considered, this is the primary method to redesign the assessment cycle accuracy by using a subset of the protected association to secure endpoint care.