Summary
Volodymyr 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
8 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at San José State University
Computer Engineering, Computer Engineering at Odessa Polytechnic National University
English, Russian, Ukrainian