Amar Saini is a data scientist with nine years of experience applying deep learning and engineering skills at Lawrence Livermore National Laboratory after earning MS and BS degrees in computer science and electrical engineering from UC Merced. He brings a strong academic foundation and practical experience building data-driven systems, from a production-focused EconMatch matching platform with MariaDB and server-side scripting to research-grade ML work at a national lab. Known for blending teaching and mentorship—having served as a TA and tutor—he communicates complex technical ideas clearly to diverse audiences. Based in Turlock, CA, Amar pairs curiosity and creativity with rigorous experimentation, often bridging algorithmic research and deployable software.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science & Electrical Engineering, Master of Science - MS, Computer Science & Electrical Engineering at University of California, Merced
An application that trains 2 convolutional neural networks to be able to make predictions during a live match (real-time application), on the opponent's card deck, card cycle, and current elixir.
Contributions:9 commits, 1 PR, 8 pushes in 1 year 4 months
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