• Spearheaded the development of new software-in-the-loop (SIL) infrastructure to validate BMS firmware across vehicle products• Enhanced the fidelity of software & electrical models simulating behaviors of high voltage ECUs to better mirror real-world conditions• Designed and authored (C++ and Python) comprehensive test suites crafted to maximize coverage of safety-critical functional requirements• Streamlined development processes by proactively identifying and resolving continuous integration (CI) build and test failures

• Facilitated the Intro to Computer Systems course, the initial introduction to the subject for most undergraduates, in Spring ’22 (82 students), Fall ’22 (78 students), Winter ’23 (168 students), Spring ’23 (108 students), Fall ’23 (165 students), Winter '24 (193 students)• Awarded Outstanding Teaching Assistant Award for "exceptional service to the CS community"• Assisted students with various topics in computer systems, C programming, x86 assembly, Linux (Red Hat), and low‑level hardware• Conducted weekly office hours, developed instructional video guides for lab assignments, and graded homework & exams

• Developed & tested embedded C code for real‑time control of robot arm movements using TI C2000 series MCU• Led & maintained software development of Raspberry Pi GUI app using C and Python for a touchscreen interactive tool crib• Wrote documentation to provide clear instructions for software installation, operation, and maintenance• Developed Python script for netlist reviews, automating prolonged & tedious task of detecting typos and unintentionally unconnected pins

• Developed a cross‑platform desktop GUI application using Rust, streamlining and automating file transfers across the computer lab network• Conducted comprehensive troubleshooting of malfunctioning systems and hardware & reimaged systems to be deployed in labs• Assisted the computer labs administrator in maintenance and support of 5 computer labs, contributing to productive learning environment

• Designed the dashboard for the 2022-23 FSAE car

• Collaborated with 4 cross‑functional teams to evaluate and select 10 new sensors for the 2022‑23 FSAE car based on project goals• Architected a modularized main data acquisition board, streamlining the collection of sensor data from 7 daughter modules• Designed, prototyped, and programmed (C++) the telemetry board responsible for transmitting real‑time data to trackside base stations• Championed and led the transition from IEEE 802.15.4 to LoRa as the telemetry system's wireless protocol

• Managed a team of 3 members in developing, testing, and maintaining the data acquisition system for the 2021‑22 FSAE car• Spearheaded all aspects of development from hardware design (Autodesk EAGLE) to software development (C++)• Achieved a 22% reduction in data acquisition PCB size while preserving full functionality and integrating a GPS for enhanced capabilities

• Conducted in‑depth analysis of user requirements, leading to development of intuitive interfaces, enhancing overall user experience• Modernized legacy user interface forms by migrating from COBOL to Visual Basic while improving system functionality and efficiency

• Maintained team website to coordinate effective & comprehensible communication between coaches, athletes, and parents• Provided easily digestible updates on deadlines, events, and race results