Applied scientist and AI engineer working at the frontier of research and business. Over the past eight years I've finished a PhD in ML and shipped models into production, and I've found that the most interesting problems require both applied science skills and business understanding.
At the AWS Generative AI Innovation Center I design, engineer and deploy custom AI solutions for customers across industries, including Nasdaq, Ryanair and adidas. I tech-lead projects end to end, from framing the problem to a system running in production, currently focused on LLMs and agentic systems.
Alongside the customer work I publish applied research papers, blog posts, and speak at conferences and meetups. I'm interested in LLM fine-tuning, customization and inference-time optimization. I've also spent several years on Kaggle, reaching Competitions Master and building solutions for different data modalities.
Experience
2022 — present
Senior Applied Scientist
AWS Generative AI Innovation Center · Berlin
- ·Designing, building and deploying custom AI and agentic solutions to solve diverse business problems.
- ·Tech-leading projects for large-scale customers such as Nasdaq, Ryanair and adidas.
- ·Published 6 papers, including NeurIPS and ICML workshops, and open-sourced 4 reusable assets.
- ·Led a squad of 6 scientists and conducted 80+ interviews; promoted from Applied Scientist in 2024.
2022
Project-Based Data Scientist
Simply Rational · Berlin, freelance
- ·Prototyped customer-segment prediction models from incomplete data for 4 finance companies.
- ·Analyzed A/B test results to identify treatments improving customer repayment by up to 6%.
2018 — 2022
Data Science Research Associate
Monedo · Berlin
- ·Developed sample bias mitigation algorithms that improved model profitability by up to 3%.
- ·Reduced data acquisition costs by up to 25% using multi-objective feature selection methods.
Education
2018 — 2022
PhD in Machine Learning
Humboldt University · Berlin
Published 5 papers on ML for credit risk, earning 500+ citations and the EURO Best Paper Award. Degree with Honors.
2015 — 2017
MSc in Economics, Quantitative Methods
Humboldt University · Berlin
Focused on predictive analytics and machine learning. Won awards in 2 data science competitions.
2010 — 2014
BSc in Economics
Higher School of Economics · Moscow
Focused on statistics and econometrics. Ranked top-1 across the 4-year student cohort; degree with Honors.
Writing & Speaking
Open Source
Deep Research with Bedrock AgentCore
Agentic application on Amazon Bedrock AgentCore that automates multi-source deep-research workflows.
Lead developer and owner
LLM Self-Reflection
Python library implementing inference-time self-reflection for Amazon Bedrock models.
Core developer and maintainer
Credentials
Kaggle Competitions Master
18 competition medals and a top-1% ranking across Competitions, Notebooks and Datasets.
EURO Award for Best Paper 2025
Awarded by the Association of European Operational Research Societies for the paper on fair ML in credit scoring.
9 professional certifications
7 AWS certifications including Generative AI Developer and ML Engineer, plus 2 Udacity nanodegrees.