Alireza Shamsoshoara

AI ML Partner Engineer - PyTorch at Meta

San Francisco, California, United States
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Summary

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Rockstar
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Alireza Shamsoshoara is an AI/ML engineer with nine years of experience bridging research and product development across autonomous vehicles, robotics, and embedded systems. Currently a PyTorch-focused Partner Engineer at Meta, he previously led VLM/LLM fine-tuning and tool-calling work for ADAS and end-to-end self-driving stacks at Volkswagen IECC. His background blends hands-on microcontroller and firmware experience (Pixhawk, Jetson, MSP430) with advanced ML methods like reinforcement learning, imitation learning, and LoRA-based transfer for vision-language models. He holds a PhD in Informatics and has applied his research to make constrained drones and automotive systems more autonomous and interactive. Known for curiosity across hardware and software, he pairs teaching and mentorship with pragmatic engineering to move prototypes toward production. An unexpected strength is his cross-domain fluency—able to tune large models while optimizing low-level flight controllers.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS Electrical Electronics and Communications Engineering, Master of Science - MS Electrical Electronics and Communications Engineering at K. N. Toosi University of Technology
bookDoctor of Philosophy - PhD Informatics, Doctor of Philosophy - PhD Informatics at Northern Arizona University
bookBachelor of Science (B.Sc.) Electrical and Electronic Engineering, Bachelor of Science (B.Sc.) Electrical and Electronic Engineering at Shahid Beheshti University
languagesEnglish, Persian
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Stackoverflow

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Github Skills (25)

classification10
spectrum10
keras10
segmentation10
imagery10
post-training9
tensorflow9
q-learning9
queue8
reinforcement-learning8
ai8
5g8
multi-agent-reinforcement-learning8
machine-learning6
imitation-learning6

Programming languages (2)

RustPython

Github contributions (5)

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An Autonomous UAV Assisted Communication in Remote Disaster Area using Imitation Learning (Behavioral Cloning)
Contributions:31 commits, 4 pushes in 3 months
imitation-learningaiuavdronecommunication
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Contributions:74 commits, 73 pushes, 1 branch in 5 months
classificationsegmentationfireuavimagery
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