Illya Nayshevsky
Co-Founder at Alpha Inertia Capital LLC
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolIllya Nayshevsky is a data-driven founder and technologist with nearly a decade of experience blending data science, systems engineering, and finance across startups and advisory firms in New York. With a Ph.D. in polymer chemistry and a FinTech certificate from Columbia, he translates rigorous research methods into practical products—building hardware, computer vision pipelines, and quantitative models during his graduate work and later shipping data platforms and fintech solutions as CTO and co-founder. He leads multiple ventures, including Gravis Group, Relm, and Adwise Partners, and runs Alpha Inertia Capital where he applies quantitative investing and blockchain curiosity to real-world strategies. Known for rapid prototyping and agile adoption of new tech, he pairs hands-on Python and C# development with cross-disciplinary problem solving. Fluent in English and proficient in Ukrainian, he brings a rare mix of lab-grade experimental rigor and product-focused engineering to strategic company-building.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Chemistry (Polymer), Doctor of Philosophy (Ph.D.) Chemistry (Polymer) at The City University of New YorkBachelor's Degree Chemistry, Bachelor's Degree Chemistry at City University of New York-College of Staten Island
English, Russian, Ukrainian
Github Skills (16)
bluetooth9
messaging9
swift9
bluetooth-mesh9
nostr9
mesh-network9
irc8
sentiment8
ios8
macos8
bluetooth-le7
blockchain5
crypto5
machine-learning-models3
package2
Programming languages (4)
Github contributions (5)
illyanyc/pyCondrop
Sep 2019 - Feb 2024
Contributions:22 pushes, 1 branch in 4 years 5 months
illyanyc/technitrade
Jun 2021 - Jul 2021
đź“Š Technitrade lets user track a portfolio of stocks, periodically getting buy, sell, or hold recommendations based on analysis performed by machine learning models and investor sentiment calculated by natural langualge processing analysis of recent news articles and Tweets.
Contributions:1 review, 45 commits, 1 PR in 16 days
machine-learning-modelssentiment
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