Emanuel Lucban
Machine Learning Engineer at Lionsgate
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolEmanuel Lucban is a Machine Learning Engineer with eight years of experience blending data science, software engineering, and IT operations to deliver production-ready ML systems. A UC Berkeley Data Science graduate with an MS in Applied Data Science from USD, he has shipped scalable data pipelines and analytics at UC San Diego Health and SANDAG and now applies ML at Lionsgate. Emanuel brings full-stack chops from earlier front-end/back-end work and deep infrastructure expertise from a decade managing enterprise IT—helpful when moving models from research to reliable production. He has hands-on experience with large-scale ETL, time-series processing, AWS, Python/Pandas optimizations, and compliance-minded architectures (PCI/HIPAA), which informs pragmatic, efficient solutions. Known for speeding up processing through vectorized transformations and building data collection apps for studies of 12,000 participants, he pairs analytical rigor with operational discipline.
8 years of coding experience
13 years of employment as a software developer
Bachelor's Degree Data Science. Minor in Computer Science., Bachelor's Degree Data Science. Minor in Computer Science. at University of California, BerkeleyIGETC - UC Transfer, IGETC - UC Transfer at Palomar CollegeMaster of Science - MS Applied Data Science, Master of Science - MS Applied Data Science at University of San Diego
English, Tagalog
Github Skills (2)
security2
file-sharing1
Programming languages (1)
Github contributions (5)
zeegeeko/FitbitAPI
Feb 2021 - Apr 2021
Contributions:31 commits, 27 pushes, 1 branch in 2 months
zeegeeko/YOLOv3
Jan 2019 - May 2019
Contributions:36 pushes, 1 branch in 3 months
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