# Jannie Z. > Software Engineer at Arrow McLaren IndyCar Location: Sunnyvale, California, United States Profile: https://flows.cv/jannie ## Work Experience ### Software Engineer @ Arrow McLaren IndyCar Jan 2025 – Present ### Software Engineer @ Workday Jan 2023 – Jan 2025 | Pleasanton, California, United States ### Research Intern @ Snap Inc. Jan 2023 – Jan 2023 | New York, United States Researcher at Snap working on implementing real-time color correction on UDC (under-display camera) images. ### Chief of Dynamics @ Columbia University Formula Racing Jan 2019 – Jan 2023 | New York, New York, United States Led a team of 20 to design and integrate suspension, hubs, uprights, brakes, and steering into an EV racecar. Designed, implemented, and tested the data acquisition system for the racecar using MoTeC and CAN. Used data-driven analysis to validate performance and diagnose issues with the car. ### Superuser in the Makerspace @ Columbia University in the City of New York Jan 2020 – Jan 2023 | New York, New York, United States Led ~15 superusers to host workshops and office hours and organized community events such as weekend make-a-thons. Maintained machines in the Makerspace (water jet, 3D printers, laser cutter, etc.), and taught 400+ students how to design for and use the machines. ### Course Assistant for APMAE2000 (Multivariable Calculus) @ Columbia University in the City of New York Jan 2020 – Jan 2020 | New York, United States ### Software Engineering Intern @ Workday Jan 2022 – Jan 2022 | Pleasanton, California, United States At Workday, I implemented a gradient boosting classification algorithm (Python, scikit-learn) to identify the best course of action with the highest auto-remediation probability. I also redesigned our database model creation using a factory/builder pattern to codify inherent model assumptions, allowing us to reduce model creation effort by half. (Node.js, Mongoose). Finally, I developed a server middleware to easily transform data on input/output to a DocumentDB database. (Node.js) ### Fullstack Software Engineer @ Whist Jan 2021 – Jan 2021 | New York, New York, United States While at Whist, I designed and implemented the UI (React, Typescript, RxJS) and a REST API (Python) for a new payment service to enable usage of the product by subscription. I also provided 100% test coverage and deployed to production. In addition, I improved overall user experience by implementing an application tray and optimizing the login flow, and improved user data security by encrypting such data (such as saved login credentials for other websites) using algorithms like PBKDF2 & aes-256-gcm. ### Software Engineer Intern @ Visa Jan 2020 – Jan 2020 | Foster City, California, United States As a part of the CyberSource SRE team, I built an alert relay service (Java) that acquires and transforms alerts from different monitoring systems (Runscope, Ghost Inspector, etc). The normalized datasets (JSON) are stored in a database, ready for visualization and analysis in Grafana. In the process, I also learned how to ensure scalable design and containerize the application. I also competed in the Payments and Pandemic Visa Hackathon, utilizing Visa APIs to create a web-based application meant to solve issues caused by the COVID-19 pandemic. My hackathon project was the winner of the Judge's Choice Award among 54 other teams. ### Student Researcher @ Stanford Robotics Lab Jan 2019 – Jan 2019 | Remote Under the supervision of Dr. Patrice Caire, I studied different types of robots for a robotorium to be built in Dubai. I learned to collaborate remotely, to use resources effectively to search interesting robots to analyze, and developed proposals for engaging robot exhibitions. ### Sales Associate @ Stein Mart Jan 2019 – Jan 2019 | San Francisco Bay Area ### Research Intern @ Boston University RISE Jan 2018 – Jan 2018 | Greater Boston Area 6-week research program on computational neuroscience. Studied and modeled sleep deprivation and its effects on memory recall. With a hippocampus model, simulated certain amounts of sleep by changing the excitatory inputs to the neurons, resulting in memory recall variations. ### Student Researcher @ University of California, Davis Jan 2016 – Jan 2016 | Davis, California 4-week research program on Mathematical Modeling of Biological Systems. Studied and modeled the population dynamics of cannibalistic protist species Blepharisma. ## Education ### Bachelor of Science - BS in Computer Science Columbia Engineering ### Homestead High School ## Contact & Social - LinkedIn: https://linkedin.com/in/janniezhong --- Source: https://flows.cv/jannie JSON Resume: https://flows.cv/jannie/resume.json Last updated: 2026-04-05