Ever since I was a little kid, I've enjoyed solving puzzles. Whether that be fiddling around with a Rubik's cube, finding the right sequence of moves in a game of chess, or even clearing a line in Tetris, nothing quite beats the satisfaction of getting something to work. As I've transitioned into adulthood, my passion for puzzles and problem-solving has persisted, and I perceive software engineering as a means to put my puzzling prowess to good use.
In May of 2025, I graduated from Cornell University Bowers School of Computing and Information Science with a Masters of Engineering in Computer Science. As part of my program I completed a capstone project on backdoor applications of VLMs in autonomous driving contexts, advised by Professor Oliver Gao and Dr. Xi Cheng.
I also completed my undergraduate degree in December of 2024. Over the many semesters in academic career, I was a teaching assistant for several courses including as a graduate teaching assistant for CS 3410 (Computer Systems Organization), the head undergraduate TA for CS4780 (Machine Learning), a tutor for CS 2800 (Discrete Structures), and a consultant for CS 2112 (Honors Object-Oriented Design and Data Structures).
Additionally, since January 2022, I have been on Cornell AutoBoat, a project
team that builds autonomous boats. Working my way up from a developer all the way up to a software team lead, I've witnessed the team's tremendous progress.
As the perception lead in 2023, I led weekly meetings and
discussions pertaining to computer vision. More technically, I trained a YOLO (You Only Look Once) neural
network model to identify different colored buoys and rubber duckies, using nearly 20,000 self-annotated
images. Pivoting more towards systems design and team management in 2024 and 2025, I managed our team's ROS to ROS2 code migration,
spearheaded design for our Unity-based testing framework, and facilitated cross-team collaboration between our 50+ members on software and hardware.
Outside of Cornell, I also have experience working in industry and research. In the summer of 2024, I worked as an AI Engineer for BCG X (the tech build and design unit of the Boston Consulting Group). There, I worked full stack using React and Django Rest Framework to implement a retail pricing tool and also developed a robust error detailing system for client business sheet uploads. Before that, in the summer of 2023, I was a Research Intern at METEOR Studio, a research lab at Arizona State University focusing on virtual reality (VR) technologies. I worked under Dr. Robert LiKamWa, and my project involved developing optimizations for a volumetric streaming pipeline. Finally even before that, I was an IT Consultant at the Institute for Compensation Studies, a research lab under the Cornell Industrial Labor Relations School. There, I collaborated with PhD students to create tools to preprocess nonprofit data from annual online tax forms. Specifically, I designed and implemented a title scraper in R that extracted raw title data from electronic 990 forms and processed them into standardized executive titles.
With a vast array of experiences in software engineering, computer science education, and research, I am excited to continue my journey in the tech industry.
Summer 2024 BCG X Intern Cohort in Boston, MA
Cornell AutoBoat at the 2023 RoboBoat competition in Sarasota, FL
METEOR Studio 2023 cohort testing out VR technologies in Tempe, AZ
I have taken a number of computer science and other technical courses at Cornell University. Below is a list of my notable classes - starred are classes I have also TA'd or tutored for:
I'm more than just a software engineer! Here are some of my other interests:
Me in my "natural habitats"