Summary
Jasmine Taketa-tran is a senior software engineer and signal-processing specialist with deep expertise in AI-driven sensing and autonomy, currently applying her skills at Oceanit in Honolulu. She brings two decades of industry experience in defense and naval systems, including leadership as Principal Investigator on ONR and DARPA projects focused on digital twins, open-world novelty, and autonomous agent training. Her background spans algorithm development for multi-sensor fusion, physics-based inference, and distributed multi-agent systems at Raytheon, where she translated research into deployed systems and shaped multi-year technology roadmaps. Trained in biomedical and electrical engineering (USC) with advanced nanodegrees in deep learning and sensor fusion, she blends academic rigor with hands-on embedded and systems engineering. Notably, she maintains a public GitHub showcasing non-work projects, signaling a commitment to independent exploration of novel sensing modalities beyond classified work.
5 years of coding experience
18 years of employment as a software developer
Bachelor of Science, Biomedical Engineering, Bachelor of Science, Biomedical Engineering at University of Southern California
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity