About

I'm a computer scientist with a background in mathematics, physics, and economics. I've spent the last decade working on machine learning — from NLP and computer vision to causal inference and agentic systems.

Most of my work has been at the intersection of research and engineering: figuring out what's possible, building it, and making sure it actually works in production. I've done this at Saks Fifth Avenue (search and causal inference at scale), at the University of Hawaii (climate modeling, cosmic radiation, fisheries), and now as an independent consultant across industries like banking, agriculture, cybersecurity, and robotics.

I studied computer science at MIPT in Moscow, then economics and CS at the University of Hawaii. I've published in Nature Communications and IEEE, and I've taught statistics and data analysis at the university level.

Experience

AI Consultant

Hawaii AI Initiative — Honolulu, HI

Nov 2025 — Present

  • Implemented agentic workflow for large-scale data mining and analysis for a banking client.
  • Enabled automated insight generation for C-suite with data grounding.

AI Consultant

C2C Contract — Remote

Nov 2024 — Present

  • Advised and executed AI strategy, architecture, and implementation across agriculture, cybersecurity, financial services, robotics, and entertainment.
  • Led end-to-end engagements: problem framing, model selection, system design, deployment.

Principal ML Researcher

C2C Consulting Contract — Remote

Sep 2024 — Nov 2024

  • Designed and implemented a prediction-aggregation system that improved detection robustness and reduced manual intervention.
  • Provided architectural guidance to transition research concepts into deployable AI systems.

Senior Machine Learning Scientist

Saks Fifth Avenue — New York, NY

May 2022 — Oct 2023

  • Led development and architecture of a search feature used by millions of customers per month. A/B testing showed 30% improvement in mobile search engagement.
  • Designed and implemented causal inference algorithms for customer experience and managerial decision-making.
  • Contributed to the Data Vault ingesting 6 TB of data per day.

Machine Learning Scientist

Saks Fifth Avenue — New York, NY

Jun 2021 — May 2022

Data Science Fellow

Hawaii Data Science Institute — Honolulu, HI

Aug 2019 — Aug 2020

  • Built a deep learning model that sped up cosmic radiation calculations by a factor of one million with under 3% relative error.
  • Created a climate model for sea surface temperature anomalies that matched or beat classical models trained on real data.
  • Built a computer vision system classifying 150 fish species and estimating fish size.

Lecturer

University of Hawaii at Manoa — Honolulu, HI

Aug 2018 — Dec 2018

  • Taught R for Data Analysis and Visualization. Supervised 11 student projects.

ML Engineer, Graduate Assistant

UHERO — Honolulu, HI

Aug 2016 — May 2019

  • Created a data science pipeline for housing market forecasting, processing 300,000 properties.
  • Taught Statistics, Intermediate Microeconomics, and Game Theory to classes of up to 150 students.

Junior ML Researcher

Sberbank Technology — Moscow, RU

Oct 2015 — Jul 2016

  • Designed NLP system for service request handling across 5,000+ classes for the largest bank in Eastern Europe.

Education

M.S. Computer Science

University of Hawaii at Manoa

2019 — 2020

M.A. Economics

University of Hawaii

2018

B.S. Computer Science

Moscow Institute of Physics and Technology

2011 — 2015

Publications

FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation

IEEE, 2024

Deep Learning for Climate Models of the Atlantic Ocean

CEUR Workshop Proceedings, 2020

Impact of two of the world's largest protected areas on longline fishery catch rates

Nature Communications, 2020

Links