William Nitsch
Senior Computer Vision & Systems Engineer
Expert in distributed robotics systems, backend platforms, CUDA acceleration, and large-scale imaging pipelines across autonomous vehicles, biotech, and UAV platforms.
Expert in distributed robotics systems, backend platforms, CUDA acceleration, and large-scale imaging pipelines across autonomous vehicles, biotech, and UAV platforms.
I'm a Senior Computer Vision & Systems Engineer with extensive experience in robotics, perception systems, and imaging pipelines. I specialize in designing, integrating, and optimizing real-time sensor systems for field robotics, as well as building data pipelines, tooling, and infrastructure to collect, process, and label massive datasets for machine learning.
My background spans C++ and Python, ROS2, CUDA, OpenCV, embedded systems, and cloud data pipelines. I'm passionate about blending hardware and software to create practical, high-performance solutions in challenging environments.
Distributed data pipelines, ROS2/DDS, container orchestration, reliability engineering, engineering productivity tooling
End-to-end vision pipelines, CUDA kernels, sensor fusion, real-time image processing, camera calibration, image quality monitoring
Python, C/C++, CUDA, SQL, ROS2, GStreamer, OpenCV, PyTorch, Linux, AWS S3, Segments.ai
Master's Thesis
2016
"Image Processing Scheme for Automated Detection of Cancer in Soft-Shell Clam Hemocytes" - Developed computer vision algorithms for automated cancer detection in marine biology.
Conference Paper
2016
"Celestial Navigation Device for Future Autonomous Applications" - Second Author, 26th AAS/AIAA Space Flight Mechanics Meeting.
Patents
2017-2023
Multiple patents covering imaging devices, immunofluorescence quantification, and agricultural optimization systems.
Award
2020
$25,000 winner for Jetson-based HIPAA-compliant clinician-patient recording platform. Collaborated to design a prototype recording system to enhance capabilities of clinical psychologists through automated analysis of audio and video interactions.
MS — Electrical Engineering
Sep 2014 - Oct 2016
GPA: 3.84
Thesis: "Image Processing Scheme for Automated Detection of Cancer in Soft-Shell Clam Hemocytes"
Final binary classification error of roughly 5% using Cubic SVM classifier despite varying coloration, noise, cell occlusion and a skewed dataset
BS — Electromechanical Engineering, Minor: Computer Science
Sep 2009 - Apr 2014
GPA: 3.65
5-year major ABET-accredited in both electrical and mechanical engineering
I'm always interested in hearing about new opportunities and exciting projects. Feel free to reach out!