Summary
Kidus Yohannes is an analytical software engineer with nine years of experience building backend systems, applying machine learning, and shaping GPU performance for graphics hardware. Currently an Analyst on Goldman Sachs’ Risk Engineering team, he translates complex quantitative and technical problems into reliable risk monitoring and compliance solutions. His background spans cloud operations at the University of Utah, hands-on integration of ML-driven gesture and facial recognition for Alexa Auto at Amazon, and GPU-focused work at Intel, giving him a rare blend of systems, hardware, and applied ML experience. A University of Utah computer engineering alumnus, Kidus pairs production-grade engineering with an operator’s mindset—comfortable both provisioning private cloud infrastructure and optimizing silicon-adjacent software stacks.
9 years of coding experience
1 year of employment as a software developer
The University of Utah
IB Diploma, IB Diploma at International Baccalaureate
Spanish, Amharic, English