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. 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

JPMorganChase Institute

Sep-2022 to Present

Education

Columbia University (Fu Foundation)

MSc in Computer Science

Passout Year: 2024

Pennsylvania State University-University Park

MBA in Supply Chain Management

Passout Year: 2021

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.

Projects

Jul-2020 to Present

Serverless Cloud Infrastructure Account Migration for Toyota Mexico, Canada, Brazil, Argentina

Certificates

Issued : Jul 2024

By : HarvardX
Event : FinTech

FinTech for Product Leaders

https://harvardx.credential.getsmarter.com/8b4e2878-313a-4183-97ab-87c6d5c7f567#gs.dn5rik

Honours & Awards

Rockstar Award

Awarded by:

Bed Bath & Beyond

Year: 2019

Scholar9 Profile ID

S9-082024-1505864

Publication

(0)

Article Reviewed

(31)

Citations

(0)

Network

(0)

Conferences/Seminar

(0)

Mr. Sumit Shekhar