Jack Gronenthal

Hardware Engineering Intern

Qualcomm•  May 2020 - August 2020

Developed a novel hardware verification methodology incorporating the emergent Portable Stimulus industry standard, PSS, into Qualcomm’s existing verification flow. Authored scripts to aid in methodology adoption and adherence. Utilized Cadence System Verifier to develop test cases that were authored in compliance with novel verification methodology that demonstrated key functionalities (e. g., memory transactions and data path activities). Delivered technical specification with supporting training materials to assist in adoption. Hackathon: Developed Azure hosted web service to interact with 5G antennae via a REST API to communicate device density in real time. Created a dashboard to display relevant metrics on human-device density, useful for assessing social distancing in public spaces.

Software Engineering Intern

Chicago Cubs•  January 2020 - May 2020

Project: Created an SwiftUI iOS application to streamline Cub’s charity operations. Integrated Stripe API/STK with custom Node.JS backend that pipelined data to Cubs' SalesForce platform. Application enabled mobile payment collection, means to serve transaction data, and interface with SalesForce. Authored web hooks to handle SoQL database interactions with custom Apex Classes. Built REST API and OAuth verification into application to ensure multiple users may use service concurrently and securely. Enhanced by Google Maps API to visualize location related data and intelligently suggest precise locations when colloquial names provided.

Software Engineering Intern

John Deere•  May 2019 - August 2019

Project: Created an user interface using JavaScript, React, and Node for Deere’s location services API with Jenkins integration to display location data in an intuitive and useful way. Deployed using EC2, S3, and CloudFront. — Implemented state management via Redux — Integrated Google Maps and MapBox API — Featured flexible error handling and input validation — Made a live dashboard which illustrated data as it was posted to Deere’s API by querying PGAmin using MySQL; cached data to improve performance — Delivered a set of tools and statistical analyses upon data returned from API (search by region, data type, heat mapping, etc.)

University of Illinois at Urbana–Champaign (UIUC), Champaign

Computer Engineering, BS•  August 2017 - May 2021

Algorithms and Models of Computation Computer Systems Engineering Data Structures Introduction to Data Science Digital Systems Laboratory Computer Security I Database Systems Digital Signal Processing