Michael Nalisnik
Principal Data Scientist
Atlanta Metropolitan Area United States
Summary
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SeniorMichael Nalisnik is a Principal Data Scientist based in the Atlanta area with 11 years of experience applying machine learning, data mining, and image analysis to real-time, embedded, and high-performance systems. He combines a software developer’s pragmatism with deep technical expertise in product development, often bridging research-grade algorithms and production constraints. At Digital Envoy he drives data-driven solutions that balance performance and operational reliability for latency-sensitive applications. His background in embedded and real-time systems gives him a practical edge when optimizing ML models for constrained environments. Michael is comfortable across the stack—from algorithm design to deployment—and brings a track record of turning complex data challenges into production-ready features.
11 years of coding experience
Github Skills (6)
classification9
active-learning8
python7
machine-learning7
deep-learning7
tensorflow6
Programming languages (1)
Github contributions (2)
cooperlab/ActiveLearning
Aug 2014 - Oct 2016
Software and documentation from the active learning project on interactive classification.
Contributions:194 commits, 13 PRs, 88 pushes in 2 years 2 months
learning-projectpythonactive-learningdeep-learningmachine-learning
cooperlab/CellNet
Oct 2015 - Dec 2016
Contributions:24 commits, 22 pushes, 3 branches in 1 year 1 month
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