Summary
Shaya K is an ML Engineer and Data Scientist with 13 years of experience, based in the San Francisco Bay Area, currently applying deep learning and statistical modeling at Cisco. With an academic background that includes advanced graduate work in electrical engineering and a M.Sc. in Data Science (GPA 3.9), he blends rigorous research in statistical inference, NLP, and signal processing with hands-on production skills in Python, MATLAB, R, and SQL. His industrial work spans successful deep-learning projects—boosting classification accuracy from 84% to 97% on SEM imagery and building predictive models for hard drive failure with >90% accuracy—that translated into manufacturing and reliability gains. He is comfortable scaling analyses on high-performance compute resources and has experience across network, infrastructure, and security tooling as reflected in his GitHub interests. Notably, he has moved research prototypes into practical monitoring and autonomous-repair prototypes, illustrating a knack for turning models into resilient systems.
13 years of coding experience
1 year of employment as a software developer
University of Minnesota Twin Cities