Jonathan Ishii
Machine Learning Engineer - Deep Neural Networks at Electromagnetic Systems, Inc.
Hawthorne, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan Ishii is a Machine Learning Engineer with eight years of experience specializing in deep neural networks, computer vision, and distributed training, currently leading AI efforts at Electromagnetic Systems, Inc. With Top Secret SCI polygraph clearance, he has delivered mission-critical sensor-to-shooter and satellite imagery analytics, including a custom hierarchical video transformer for SAR data and optimized multi-GPU training pipelines. He combines hands-on model optimization (fine-tuning, confident learning) with technical strategy that has helped secure major contracts like NGA LUNO A and B, while mentoring and hiring engineering talent. Jonathan pairs an MS in Computer Science from CSUF with practical systems and product experience across defense and industry, and routinely runs SOTA trade-off studies to guide model adoption. Notably, he translates cutting-edge research into scalable production workflows that improve data quality and operational efficiency.
8 years of coding experience
5 years of employment as a software developer
Computer Science, Computer Science at Orange Coast CollegeAssociate's Degree, Associate's Degree at El Camino CollegeBachelor's Degree, Business Economics, Bachelor's Degree, Business Economics at University of California, RiversideMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at California State University, Fullerton
Stackoverflow
387reputation
110kreached
1answer
7questions
Github Skills (33)
html6
php6
prolog6
forms6
python6
github6
git6
javascript6
expert5
visual-recognition4
efficientnet4
midi3
pipe3
transfer-learning3
music3
Programming languages (2)
Github contributions (5)
Godsinred/SchoolDatabaseSimulation
Apr 2019 - May 2019
Contributions:57 commits, 66 pushes, 1 branch in 1 month
Godsinred/Tetris_AI
May 2019 - Aug 2019
Contributions:45 commits, 38 pushes, 1 branch in 3 months
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