Shivam Hingorani

United States

@shivam_hingorani

Personal Information

shivam_hingorani@brown.edu
+1-6154577699
Providence, RI

Badges

Days of Code

Certifications

shivam_hingorani has not earned any certificates yet.

Work Experience

  • Analyst – Product Manager: New Business Ventures (NBV)

    JPMorganChase•  February 2024 - July 2024•  Palo Alto, CA

    • Led development and delivery of developer onboarding for Helios (JPMC’s latest embedded payments API). • Spearheaded development of proof-of-concept for integration of JPMC’s automated reconciliation software with SAP Ariba’s spend management suite, enabling an increase in transaction activity by over $11 billion annually. • Authored interactive content for Helios developer portal. • Performed industry analysis and user research for global trade financing.

  • Analyst – Product Manager / Data Scientist: Client Advisory Analytics (CAA)

    JPMorganChase•  April 2023 - January 2024•  Palo Alto, CA

    • Managed production release of 4 new/heavily revised modules in CAA (JPMC’s relationship review application for corporate clients), driving increased user adoption by over 100%. • Led product design for multiple CAA feature sets, including accounts payable/receivable and peer benchmarking, saving 350,000 hours annually across 4,000 users at the firm. • Developed SQL queries across 8 million records to curate 16 firm-wide data assets enabling new CAA feature sets.

  • Analyst – Product Manager / Software Engineer: Data, Analytics, and Technologies (DAT)

    JPMorganChase•  August 2022 - March 2023•  Palo Alto, CA

    • Architected data pipeline for integration of the geolocation attribute in iQ (JPMC’s internal sales prospecting tool). • Designed UX and developed algorithm for rendering and searching prospects using an interactive map in iQ. • Engineered automated iQ search testing/simulation framework in Python and proposed revised search algorithm.

  • Software Engineering Intern

    Nvidia•  September 2021 - December 2021•  Durham, NC

    • Engineered proof-of-concept leveraging pandas for Test Automation team to develop an evaluation system for algorithms that assign unique signatures to each combination of GPU build and hardware test. • Utilized proof-of-concept to power a test deduplication framework that saves 5-10% of GPU testing compute resources.

  • Apple Media Products Engineering Intern

    Apple•  June 2021 - September 2021•  Culver City, CA

    • Spearheaded Apple Media Products (AMP) initiative to architect and document standardized asset management workflows in Xytech MediaPulse for the creation of a proprietary video archival system. • Built custom automations for streamlined maintenance of the Apple TV+ asset repository.

  • Software Engineering Intern

    Boeing•  June 2020 - August 2020•  Everett, WA

    • Developed wrapper API in Java for App Modernization team’s RESTful authentication API to enable specialized queries in Boeing Application Security Proxy (BASP) authorization service and improve authentication runtime by 400%. • Utilized wrapper to enable 3 new/improved authentication methods for software updates onboard Boeing 777X aircraft.

  • Data Science Intern

    Aagyaa•  June 2019 - September 2019•  Brentwood, TN

    • Developed scripts to cleanse equity market trading data in Python and pandas. • Designed and implemented AWS Lambda function to condense raw trading data up to 30,000x for consumption by Imitation and Reinforcement Learning algorithm for Artificial Intelligence trading.

  • Data Science Intern

    NASA•  May 2017 - August 2017•  Huntsville, AL

    • Collaborated with and reported directly to Astrophysics Division Lead. • Mined vital cosmic ray data for the NASA Innovative Advanced Concepts (NIAC) project on Neutrino Detection. • Self-taught Mathematica and leveraged it to model flux near the Sun.

Education

  • Brown University, Rhode Island

    Computer Science, MS•  September 2024 - Present•  GPA: 4

    • Concentrations: Visual Computing, Artificial Intelligence/Machine Learning (AI/ML) • Coursework: Computer Vision, Machine Learning: from Theory to Algorithms, Software Engineering • Activities: Brown Formula Racing, NASA S.U.I.T.S., Brown-RISD XR Hub, Brown Space Engineering

  • University of Washington, Washington

    Human Centered Design and Engineering, BS•  September 2018 - June 2022•  GPA: 3.91

    • Minors: Data Science (UW Information School), Entrepreneurship (Foster School of Business) • Coursework: Neural Networks, Machine Learning, Database Systems, Data Structures/Algorithms, Matrix Algebra • Dean’s List: Autumn 2018, Spring 2019, Spring 2020, Autumn 2020, Winter 2021, Spring 2021 • Activities: Engineers Without Borders, Inclusify by Design, UW Awaaz South Asian Fusion A Cappella, Husky Tennis Club

Skills

Git
GitHub
AWS
Figma
Jira
Microsoft Azure
Postman
Mathematica
Microsoft Office
SQL
NumPy
pandas
Matplotlib
scikit-learn
PyTorch
CUDA
React
Python
Java
JavaScript
HTML
CSS