Chase Overcash
Software Engineer (Machine Learning)
Student at University of California - Irvine
MS in Computer Science - Machine Learning
Sept 2021 - June 2023 (est.)
Study Abroad in Tokyo, Japan
(In collaboration with Waseda University)
Arizona State University assembled study abroad trip to Tokyo, Japan, coordinated with Waseda University. Four week trip focused on simulating different parts of Japanese cities and their traffic systems.
During this time we explored several companies and factories (Japan Airlines, Nissan) and underwent lessons on C# and Unity. Final project of the trip was an individually created representation of a traffic system. I chose to simulate Tokyo University’s school festival. Project implemented visualization of car, bus, train, and human traffic in response to controlled or randomized variables. To the right you can see a few pictures from my trip.


Projects
Seoul Bike Rentals (Deep Forest) (April 2022 - June 2022)
https://github.com/Chase-Overcash-UCI/SeoulBikeRentals
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Integrated popular machine learning approach, Random Forest, with a deep recurrent neural network to investigate its potential as a classification solution in contrast to modern alternatives.
Spiking Hyper-Dimensional Computing (April 2022 - June 2022)
https://github.com/Chase-Overcash-UCI/Spiking-HyperDimensional-Computing
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Conceived a spiking hyper-dimensional computing system as an alternative approach for tackling neuromorphic MVSEC dataset to current industry standard, spiking neural networks.
Sokoban Reinforcement Learning (October 2021 - December 2021)
https://github.com/Chase-Overcash-UCI/Sokoban_RL_Project
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Applied reinforcement learning to an old logic based video game to quickly find optimal solutions.