Dzmitry Kasinets is a software engineer with nine years of experience building products that help authors and editors create books, currently contributing to Penguin Random House from New York. He combines full‑stack experience and machine learning research—having developed audio feature extraction systems for bass isolation—to tackle practical problems across publishing workflows. Dzmitry has a track record in agile teams and user-facing mobile projects from a CUNY portfolio program and early startup work, and he’s comfortable both leading sprints and shipping production features. He holds a BS in Multimedia Computing (cum laude) and an MS in Computer Science from Johns Hopkins, reflecting a strong mix of media-aware engineering and formal CS training. Curious by nature and active on GitHub, he brings a research-informed, hands-on approach to improving content creation tools.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Johns Hopkins Whiting School of Engineering
Bachelor of Science cum laude Multimedia Computing, Bachelor of Science cum laude Multimedia Computing at Brooklyn College
Contributions:13 pushes, 1 branch in 1 year 2 months
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Dzmitry Kasinets - Software Engineer at Penguin Random House