Daniel S
Software Engineer at Boeing
Los Angeles Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDaniel S is a software engineer with nine years of experience and dual BS/MS training in Computer Science from UCLA, currently applying his skills at Boeing. His background spans machine learning and data science roles—including a stint as an ML engineer at Navitas Semiconductor and a data science internship at Lockheed Martin Space—giving him a practical bridge between research and production systems. At UCLA he contributed to scalable analytics research and helped mentor and organize hackathons, showing a knack for translating academic work into collaborative projects. He combines systems-level thinking with applied ML, favoring data-driven feature development and robust engineering practices. Based in Los Angeles, he brings both aerospace and semiconductor domain exposure to software problems that require rigorous correctness and scalability. Outside of work he pairs computational linguistics interests with software craft, reflecting a multidisciplinary approach to problem solving.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at UCLA Henry Samueli School of Engineering and Applied Science
Github Skills (4)
solver6
nlp4
natural-language-processing3
machine-learning3
Programming languages (2)
Github contributions (5)
danielpark95/hq-trivia-solver
Feb 2018 - Apr 2018
Contributions:38 commits, 2 PRs, 42 pushes in 2 months
nlpmachine-learningsolverhq-trivianatural-language-processing
danielpark95/buzz-ios
Feb 2017 - Feb 2018
Contributions:1 PR, 29 pushes, 1 branch in 11 months
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