Matthew Sklar

Machine Learning Engineer at Amazon

New York, New York, United States
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Summary

🤩
Rockstar
🎓
Top School
Matthew Sklar is a Machine Learning Engineer with a decade of experience building scalable, production-grade systems and ML research implementations. Now at Amazon, he transitioned from designing high-throughput AWS services at Amazon Music to applying ML expertise across production workloads, bringing strong ownership of CI/CD, monitoring, and large-scale ETL pipelines. His academic work at Georgia Tech produced peer-reviewed robotics and multi-agent RL research—shipping CUDA-optimized PyTorch training that sped experiments up to 8x and graph-attention communication models robust to transit loss. Comfortable across Python, C++, ROS, and cloud infrastructure, he blends deep research rigor with pragmatic engineering to move models from lab prototypes into highly available systems. Based in New York, he has a track record of turning complex algorithmic ideas into reliable, deployable software.
code11 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
languagesEnglish, Hebrew
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Github Skills (10)

gtsam10
robotics10
cpp10
perception10
django4
react3
nextjs2
spigot2
python2
minecraft2

Programming languages (4)

JavaC++PLpgSQLJupyter Notebook

Github contributions (5)

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matthewsklar/Donatracker

Sep 2018 - Nov 2018

Donation app for GT CS2340
Contributions:103 commits, 51 PRs, 56 pushes in 1 month
donation-app
Jutanium/MathPlayground

Jul 2016 - Dec 2016

Contributions:92 commits in 5 months
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