Alex Lavaee
Research Software Engineer at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Lavaee is a Research Software Engineer at Microsoft Research with five years of hands-on experience building AI/ML infrastructure, distributed training systems, and agentic systems for production-scale settings. He blends academic research—developing spatial and 3D self-supervised representation models at Harvard Medical School and Boston University—with practical product work across Microsoft, Boeing, Edwards Lifesciences, and AI startups, including pipelines that sped error diagnosis from days to minutes and an FDA-track cardiac ML model. Comfortable across full-stack, MLOps, and robotics domains, he has shipped scalable data pipelines for multi-node PyTorch training, compressed terabyte-scale 3D lidar datasets 100x, and deployed medical-grade ML services. Alex’s cross-disciplinary background in AI4Science and world-model perception systems lets him translate complex scientific problems into deployable ML solutions, and he frequently bridges research code and production engineering. Based in Redmond, WA, he combines curiosity-driven research with pragmatic engineering—often optimizing for compute, storage, and reproducibility in ways that accelerate real-world discovery.
6 years of coding experience
5 years of employment as a software developer
High School Diploma, Engineering, High School Diploma, Engineering at Sage Hill SchoolBachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at Boston University
English, Persian, Spanish
Github Skills (44)
music-generation10
pytorch10
cnn-architecture10
dotnet10
multi-agent10
agent-framework10
deep-learning10
tensorflow10
sdk10
deep-reinforcement-learning10
computer-vision10
ai-agent9
text-to-speech9
python9
language-model9
Programming languages (7)
Github contributions (5)
lavaman131/PythonCheatSheet
Aug 2021 - Jun 2022
Contributions:21 commits, 2 pushes in 10 months
lavaman131/PlantifyDr
Feb 2021 - Dec 2021
Plant disease detection app with over 4000 downloads that utilizes ResNet-50 CNN architecture for image classification.
Contributions:76 commits, 7 pushes in 10 months
cnn-architectureimage-classification
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