I work on perception systems for autonomous vehicles, with a focus on profiling, optimization, and GPU acceleration.

2022 — NowWaymoSoftware Engineer

2022 — Now

San Francisco, California, United States

Hardware Abstraction Layer (HAL) Optimization team

2020 — 2022May MobilityRobotics Engineer

2020 — 2022

Ann Arbor, MI

Perception and Systems squads

2019 — 2019AptivComputer Science Intern

2019 — 2019

Troy, MI

Designed on-disk caching algorithm for visualization tool, resulting in 5x load time reduction from 10 seconds to 2 seconds

Rewrote SHA-1 file hashing routine in C++ using memory-mapped file I/O and a producer-consumer concurrency model, resulting in a 7x increase in throughput

Engineered spatial database for National Bridge Database (NBI), allowing sub-millisecond nearest-neighbor and bounding box queries of over 600,000 bridges

Implemented binary image classification convolutional neural network to identify highway bridges from camera data with an AUROC of 0.99 on commodity laptops

2018 — 2019University of Michigan Intelligent Ground VehicleTeam Leader

2018 — 2019

Ann Arbor, MI

Responsible for leading 35 engineering and business students to ensure documentation and transfer of knowledge from Intelligent Ground Vehicle Competition (IGVC) at Oakland University. Working to direct team relations with the University of Michigan, alumni, and other organizations and to build open team environment to drive member development, retention, and recruiting.

2017 — 2018University of Michigan Intelligent Ground VehicleSensors Coordinator

2017 — 2018

Ann Arbor, MI

Worked to develop odometry, localization, and mapping subsytems for autonomous mobile robot

using Robot Operating System (ROS).

Integrated Velodyne VLP-16, Stereolabs ZED, Garmin GPS 18x, Inertial Measurement Unit (IMU), and wheel encoders for Simultaneous Localization and Mapping (SLAM).

Used Google Cartographer with VLP-16 and ZED for centimeter-accurate GraphSLAM

Fused IMU, wheel encoder, GPS, and visual odometry data with Unscented Kalman Filter (UKF)

Developed several ROS nodes, including white line costmap layer, differential drive odometry, and GPS navigation

Education

University of Michigan College of Engineering

Bachelor of Science in Engineering - BSE

Lawrence Technological University

Experience+

Education

Bachelor of Science in Engineering - BSE

Dual Enrolled