Rusty Mina is a Machine Learning Researcher with 11 years of experience, currently applying ML research at GCash (Mynt) after a research stint at KAIST where he published in a top-tier ML conference. He has a strong practical focus—extensively using Python and PyTorch to reproduce and implement recent CV and NLP papers, and shipping deep-learning solutions for medical diagnosis and speech recognition. Comfortable across research and engineering, he blends academic rigor with industry practices like remote server workflows (tmux) and systematic debugging. His background in electronics and hands-on Verilog work for reinforcement learning in wireless sensor networks gives him a hardware-aware perspective uncommon among ML researchers. Rusty is a self-directed learner who keeps up with recent papers and documents his development timeline on GitHub, making him effective at turning novel ideas into reproducible code.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.) Electronics and Communications Engineering, Bachelor of Science (B.S.) Electronics and Communications Engineering at University of the Philippines
Philippine Science High School
M.S in Electrical Engineering (dropout), Machine Learning, Did not finish --- completed coursework but did not submit M.S. thesis, M.S in Electrical Engineering (dropout), Machine Learning, Did not finish --- completed coursework but did not submit M.S. thesis at Korea Advanced Institute of Science and Technology
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