Professional Experience #

Embedded Software Engineer #

HL Mando, July 2023 – July 2025

• Led the partitioning of software components from a single-core ECU to a dual-core ECU using a multi-dimensional analysis, ultimately balancing the CPU utilization and reducing single-core usage by 40%
• Deployed an onsite CICD server from scratch, replacing unreliable legacy system and saving $10,000 per year in engineer time
• Reduced waiting times in DevOps pipelines by 90% by refactoring existing codebase
• Prepared detailed documentation for complex integrations and processes to help team function in future projects
• Developed embedded vehicle communication software on electric power steering electronic control units
• Reallocated CPU task priorities and effected software optimizations to reduce CPU load by 30%
• Automated HIL testing using Vector CANoe and vTestStudio to save over four hours each release
• Wrote web automation using Selenium framework to automate administrative tasks, saving one hour of developer time every day
• Actively and independently sought opportunities to create new automations and improve existing ones to enhance team performance and secure release timelines
• Initiated project meetings about improving agile workflows and version control using the PTC RV&S software suite

Intern, Customer Program Management #

Harman International May 2022 – August 2022

• Created software to assist program management that analyzed complexity of new embedded C source code for vehicle entertainment systems. Program is now used to reduce human effort in project timeline estimation by 40%
• Researched academic literature to find best approach to algorithm implementation, resulting in completion of project 6 weeks ahead of schedule
• Wrote 50 automated testing scripts in Python unit test framework to ensure program validity
• Presented technical findings and deliverables to Harman leadership team including direct supervisors and vice president
• Performed targeted testing on vehicle digital amplifier through CAN bus to find root cause of customer issue

Algorithm Implementation Intern #

University of Michigan MRI Lab, May 2021 – November 2021

• Effectuated special MRI image reconstruction algorithm in C++ by collaboration with radiology research professor to improve speed by 20% over previous methods
• Reviewed documentation of open-source MRI framework, Gadgetron, to successfully create image reconstruction software module for use in planned future algorithms
• Collaborated with partner to divide tasks and successfully complete project milestone within 3-month timeline

Education #

University of Michigan, September 2019 - April 2023

Bachelor of Science in Computer Engineering

Graduated Magna Cum Laude