Alex Lavaee

Redmond, Washington, United States
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Summary

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Rockstar
Alex Lavaee is a software engineer at Microsoft with five years of experience building scalable AI/ML infrastructure, distributed systems, and perception-focused robotics solutions. He bridges cutting-edge research and production—authoring SpatialDINO, a spatial self-supervised framework for molecular and cellular representation learning at Harvard and a 3D self-supervised model for human motion at Boston University. His industry work spans optimizing large-scale pipelines (including a 2TB→20GB LiDAR compression at Themis AI), medical AI (an FDA-processing model for severe aortic stenosis detection and a private LLM-based medical chatbot at Edwards Lifesciences), and full-stack MLOps. A summa cum laude Data Science graduate from Boston University (GPA 3.95), he combines rigorous academic training with hands-on product engineering across startups and enterprise teams.
code5 years of coding experience
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Github Skills (11)

music-generation10
deep-reinforcement-learning10
pytorch10
computer-vision10
deeplearning10
deep-learning10
neural-networks10
tensorflow9
machine-learning9
sage7
open-source2

Programming languages (4)

MDXJavaScriptJupyter NotebookPython

Github contributions (5)

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lavaman131/PythonCheatSheet

Aug 2021 - Jun 2022

Contributions:21 commits, 2 pushes in 10 months
lavaman131/PlantifyDr

Feb 2021 - Dec 2021

Contributions:76 commits, 7 pushes in 10 months
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Alex Lavaee