Ugurcan Cakal is an embedded software engineer in Zurich with eight years of experience working at the intersection of hardware, firmware, and machine learning. He has driven sensor-focused projects from characterization of TOF imagers and MIPI D-PHY compliance to low-level hardware debugging, and previously built neuromorphic chip simulation and real-time on-chip ML pipelines. At SynSense he accelerated development cycles—cutting delivery timelines from years to months—and was the top contributor to the Rockpool open-source package used for neuromorphic ML. His background blends a strong academic foundation in electrical and electronics engineering (MSc, 3.79/4.0) with hands-on skill deploying ML on constrained hardware and automating pre-silicon verification. Colleagues rely on him to bridge system-level requirements and silicon realities, turning complex sensor data problems into deployable solutions.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, 3.79/4.0, Master of Science - MS, Electrical and Electronics Engineering, 3.79/4.0 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Contributions:2 PRs, 2 pushes, 3 branches in 1 year 10 months
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Ugurcan Cakal - Embedded Software Engineer at ESPROS Photonics AG