Mikhail Kardash
Machine Learning Engineer
Belmont, California, United States
Summary
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Rockstar🎓
Top SchoolMikhail Kardash is a Machine Learning Engineer with 7 years of experience building ML systems, data pipelines, and edge deployments, grounded in an M.S. in Machine Learning and Data Science from UC San Diego. He has shipped production ML software across healthcare, IoT, and infrastructure teams—optimizing neural network training, cloud deployments on AWS, and contributing to Determined.ai’s Python and Docker environments. At XTraffic he dramatically reduced computer vision latency and network usage on NVIDIA DeepStream and Jetson systems, showcasing strong systems-level optimization skills beyond typical model work. Comfortable with both research-driven model development and hands-on sysadmin tasks, he bridges model development and reliable production operations. Based in Belmont, CA, he favors pragmatic solutions that inform better data collection and keep ML stacks current with evolving frameworks. Colleagues rely on him for clean, deployable code that turns experimental models into low-latency, cost-effective services.
7 years of coding experience
4 years of employment as a software developer
University of California, San DiegoAssociate's degree Computer Science, Associate's degree Computer Science at College of San Mateo
Github Skills (24)
kubernetes10
pytorch10
distributed-training10
python10
data-science10
acceleration10
machine-learning10
model-management10
numpy10
hyperparameter-optimization10
keras10
mlops10
deep-learning10
tensorflow10
gpu10
Programming languages (3)
Github contributions (5)
MikhailKardash/determined
Feb 2023 - Sep 2023
Determined: Deep Learning Training Platform
Contributions:299 pushes, 32 branches in 7 months
MikhailKardash/environments
Feb 2023 - Jul 2023
Determined AI public environments
Contributions:32 pushes, 5 branches in 5 months
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