Mark Velednitsky
Principal AI Scientist at Meadow AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMark Velednitsky is a Principal AI Scientist based in Seattle with a decade of experience applying machine learning, optimization, and forecasting to real-world operations problems. He has led teams and shaped science roadmaps that produced conference presentations and provisional patents, and as Afresh’s technical lead delivered algorithms that measurably reduced waste and unlocked new revenue streams. At Amazon he designed production scheduling and routing tools that scaled to hundreds of thousands of packages and improved contact center performance, and he now drives multi-disciplinary AI strategy across machine vision, NLP, and forecasting at Meadow. A PhD-trained operations researcher from UC Berkeley with deep combinatorial optimization roots, he combines rigorous research, product-minded prototyping, and leadership—from founding a scheduling startup to mentoring cross-functional scientist teams. Notably, his work consistently moves from theory to impact: shipping models that cut costs, reduce waste, and enable new business expansion.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Operations Research, Doctor of Philosophy (Ph.D.) Operations Research at UC Berkeley College of EngineeringBachelor of Science (BS) Math, Bachelor of Science (BS) Math at Massachusetts Institute of Technology
RussianProgramming languages (2)
Github contributions (5)
marvel2010/k-terminal-cut
Apr 2017 - Mar 2019
Contributions:82 commits, 4 PRs, 28 pushes in 1 year 11 months
marvel2010/wikipedia-content-assessment
Oct 2019 - Dec 2022
Wikipedia categories as NetworkX graphs for automatic content assessment.
Contributions:2 PRs, 5 pushes, 2 branches in 3 years 2 months
wikipedia-categoriesnetworkxwikipediagraphsassessment
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