Perception Engineer leading 3D sensor fusion and real-time deep learning for Mitsubishi Electric's HubPilot project. Pursuing an MEng in CSE at the University of Michigan, Ann Arbor.
Experience
Mitsubishi Electric Automotive America (MEAA)
Automotive Perception Engineer III
Sep 2024 - Present
Lead end-to-end development, integration, and testing of HubPilot's perception system (HubDrive), exceeding accuracy requirements.
Research, prototype, and develop advanced 3D perception models, emphasizing sensor fusion approaches.
Solely designed, developed, deployed, and tested HubPilot's YardPass feature.
Optimize deep learning models and perception software for NVIDIA embedded SoCs.
Collaborate with cross-functional teams in Japan and research scientists at MERL on development efforts.
Automotive Perception Engineer II
Jan 2022 - Sep 2024
Spearheaded the design and development of HubPilot's HubDrive system from concept to initial deployment, ensuring robust architecture and on-schedule delivery.
Orchestrated data collection and labeling for multiple RGB camera deep learning models.
Translated overall system and customer requirements into multi-level perception specifications.
Machine Learning Research Intern
May 2021 - Dec 2021
Led MEAA's first in-house High-Performance Compute (HPC) machine build for on-site data processing.
Developed a deep learning vision solution for Qualcomm's SoC (showcased at CES) using the Neural Processing SDK.
Research Experience
University of Michigan, Ann Arbor | Jan 2025 - Present
Using VLMs for end-to-end autonomous driving; RobustNet group (advised by Prof. Morley Mao)
Education
MEng - Computer Science & Engineering - University of Michigan, Ann Arbor | Dec 2027
BEng - Robotics and Mechatronic Systems - University of Detroit Mercy | Dec 2021
Skills
3D Computer Vision, Multimodal Sensor Fusion, Python & C++, PyTorch, ROS2, Git, Linux, Deep Learning, Leadership