Summary
William Kaiser is a computer science student at the University of Virginia with eight years of engineering experience focused on perception, cloud, and ML systems. He builds real-time detection pipelines for high-speed autonomous racing, fusing 4D radar and LiDAR and authoring custom ROS profiling tools to monitor CPU, memory, and GPU usage. His research work profiles ML memory on GPUs to make LLMs faster, and he holds TensorFlow Developer and AWS Cloud Practitioner certifications. Past internships span verification for flight software, no-code UI generation, and large-scale data ingestion and search on AWS for material science datasets. Comfortable across Python, Java, JS, and R, he blends hands-on systems engineering with data analytics and visualization skills (OpenCV, TensorFlow, Next.js, OpenSearch). He’s equally drawn to performance optimization and practical deployment—often solving edge-case sensor and memory bottlenecks that aren’t obvious from high-level specs.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, High School, High School Diploma, High School at The Academy of Science and Technology at The Woodlands College Park High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Virginia
English, Spanish