Summary
Sebastian Gomez is a Perception Software Engineer based in Austin with eight years of experience building production-grade systems that span robotics, microscopy imaging, and high-throughput backend services. He blends deep practical knowledge of Python-heavy image processing (NumPy, OpenCV, Numba, CuPy) and distributed task systems (Celery, FastAPI, SQLAlchemy) with hands-on infra skills—designing GPU-backed processing pipelines, a 200TB ZFS server, and CI/CD for reliable deployments. At Amazon Robotics he owned tier-1 navigation services at scale, and at vivoVerse he drove domain-driven design, microscope automation, and GPU cluster batch processing while collaborating closely with biologists and physicists. Comfortable across embedded C/C++ to Svelte front-ends, he repeatedly reduces technical debt, documents complex domains, and ships ergonomic user workflows. Notably, he has architected plugin-based image-processing services and built microservices for large microscopy image streaming that handle multi-gigabit throughput.
8 years of coding experience
5 years of employment as a software developer
University of Oklahoma