Stanford University

September 2019 - June 2022 | Stanford, CA

• BS, Electrical Engineering. GPA: 4.19/4.00
• EE Hardware and Software Systems Track
• Music Minor (Sound Production + Music Theory)
• Selected courses:
  • AA 274A: Principles of Robot Autonomy I (Final Project GitHub)
  • CS 107E: Computer Systems from the Ground Up (Final Project GitHub)
  • CS 111: Operating Systems Principles
  • CS 149: Parallel Computing
  • CS 229: Machine Learning (Final Project Paper)
  • EE 101A/B: Circuits I/II
  • EE 102A/B: Signal Processing and Linear Systems I/II
  • EE 104: Introduction to Machine Learning
  • EE 108: Digital Systems Design (Final Project Paper)

University of Minnesota, Twin Cities

September 2017 - May 2019 | Minneapolis, MN

• Dean's List. GPA: 4.00/4.00. Non-degree-seeking (PSEO) student during the final two years of high school.
• Selected courses (38 credits total completed):
  • CSCI 2011: Discrete Structures of Computer Science
  • EE 2001 (+ 2002): Introduction to Circuits and Electronics (+ lab)
  • MATH 4428: Mathematical Modeling

Minnetonka High School

September 2015 - June 2019 | Minnetonka, MN

• Summa Cum Laude. GPA: 4.70/4.00 (weighted); 4.00/4.00 (unweighted).
• Platinum Bilingual Seal (French).
• Activities: FIRST Team 3082 "Chicken Bot Pie", Alpine Ski Team,
  Science Olympiad, Science Bowl, Quiz Bowl, National Honor Society.

Software Engineering Intern (Perception and Autonomy) @ Parallel Systems

June 2021 - August 2021 | Mountain View, CA / Culver City, CA

• Entered an early-stage startup and quickly took ownership over the rail detector, a significant portion of the perception subsystem.
• Designed and trained CNN-based computer vision models with PyTorch to efficiently segment the real world into classes of interest.
• Created a novel postprocessing algorithm to localize rails in real-world coordinates, enabling intelligent hazard avoidance policies.
• The model predcits rail position within ~1.5% of ground truth (up to 100m away), running in real-time with efficient C++/CUDA code.

R&D Data Science Intern @ 3M (Corporate Research Systems Lab)

June 2020 - September 2020 | Maplewood, MN (remote)

• Joined a fast-paced Scrum team alongside full-time 3M engineers to develop drone technology for internal use cases.
• Developed GPU-enabled CV program for drone-hosted NVIDIA Jetson Nano, enabling inference 30x faster than before.
• Created interactive HoloLens 2 augmented reality app in Unity/C# for immersive visualization of drone data output.

Co-President @ Stanford Student Robotics

January 2021 - present | Stanford, CA

• Manage rapidly growing organization of ~60 members; organize remote recruitment efforts; secure $50k in grant funding.
• Lead ~10-person team in development of wheeled/legged robot, “Hopper,” a control algorithms development platform.
• As Extreme Mobility Team Member (September 2019 - December 2020):
  • Collaborated on a low-cost open-source quadruped robot, “Pupper”, designed as a for education and hobbyists.
  • Developed power/signal transmission PCB and autonomous navigation/mapping software on NVIDIA Jetson Nano.
  • Presented and demonstrated the project to industry experts and the public at the 2020 TechCrunch Robotics+AI conference.

President and Sound Engineer @ Stanford Harmonics A Cappella

May 2020 - present | Stanford, CA

• Manage remote recording projects, rehearsals, and planning for an upcoming album.
• Secure $30k in grant funding for annual expenses and sound equipment.
• Mix audio for remote recording projects in Pro Tools.
• Member since September 2019.

Captain @ Stanford Ski Team

January 2020 - present | Lake Tahoe, CA

• Lead the alpine racing team; organize training sessions and team activities.
• Race slalom and giant slalom in NCAA-DII/USCSA races.

During the final two years of high school, I worked on an independent research project that involved the development of an autonomous drone to generate high-quality 3D maps in GPS-denied environments. As part of the project, I developed, proposed, and presented the hardware and software needed to make the ~2kg autonomous drone a reality. I had the opportunity to attend events like the International Science and Engineering Fair (ISEF) in 2018 and 2019 where I received the 4th Grand Award (ISEF Poster). I was also named a Regeneron STS Scholar (top 300 in the US) for my work on this project (Paper).

From a technical perspective, the project involved integrating sensors like cameras, IMUs, ultrasonic rangefinders, and LIDAR, to develop a robust SLAM system that could handle various environments and lighting conditions. Compute was handled primarily by an NVIDIA Jetson TX2 using ROS for inter-process communication between different nodes written in Python.

Based on feedback from judges during the science fairs that I attended, I filed a patent on aspects of mapping technology. This patent was granted by the USPTO, #11,127,202! (Google Patents Link, USPTO Link). More recently, while in college, I have been working on commercializing the technology. I have conducted customer interviews to discuss industrial use cases and began optimizing the system for some applications that I have learned about.