Volodymyr Makarenko
Summary
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SeniorVolodymyr Makarenko is a PhD student and software engineer with 8 years of experience building IoT platforms, scalable experiment pipelines, and HPC-optimized ML workflows. He has shipped end-to-end systems for BLE-based device data collection and real-time mapping, and implemented AWS-backed data pipelines and visualization tools. As a research assistant he accelerated training and evaluation on SLURM clusters to enable broader hyperparameter searches and contributed to papers at UAI, ACC, and RLC on reinforcement learning and control. His current research applies Information Theory to representation learning, bridging theoretical insight with practical experimentation. Based in the Lubbock-Levelland area, he combines embedded systems pragmatism with rigorous academic methods, equally comfortable debugging low-level device software or optimizing large-scale experiments. An understated strength is his knack for turning research code into production-ready pipelines that scale.
8 years of coding experience
Github Skills (15)
i2c8
spi7
gpio7
galileo6
io5
raspberry-pi5
linux5
cpp4
nodejs4
intel-edison4
java4
python4
reinforcement-learning2
spring1
spring-boot1
Programming languages (5)
Github contributions (5)
khoaaphansjsu/SpotifyReact
Feb 2021 - Dec 2022
Contributions:57 commits, 2 PRs, 29 pushes in 1 year 10 months
BobMak/SpaceShooter
Jan 2018 - Sep 2022
Contributions:101 pushes, 5 branches, 4 comments in 4 years 8 months
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