Lucas Guibert is a software engineer with 11 years of experience building web and ML-focused tooling, currently designing systems to manage complex machine learning workflows at Apple in Sunnyvale. He brings a strong Python and JavaScript background from roles ranging from full‑stack development at Regaind to Django/Bokeh visualization work for UCLA, and earlier ERP and CRM projects. Lucas has a pattern of turning research and data-collection needs into production-ready annotation and album-making tools that accelerate model training. Comfortable across the full stack, he combines practical engineering with data visualization and ML pipeline experience. Trained with a Master’s in Computer Science from EXIA CESI, he is a pragmatic problem solver who favors building tools that make complex workflows tractable.
Contributions:44 pushes, 1 branch in 3 years 1 month
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