I have a personal website now! You can find it here
And I have an Obsidian project with my ML-related notes.
I'm an economist by education and usually try to understand why things happen.
For a long time, I was fascinated by foreign languages and studied them: English (my native is Russian), German, Japanese, and Spanish.
Currently, I'm Data Scientist and an active Kaggler.
Also, I have a portfolio listing some of my projects, which include Kaggle kernels, pet-projects, and other things.
- Beyond Positional Bias: How DroPE Unlocks Zero-Shot Long Context in LLMs
- Kimi k2.5 Review: Native Multimodality and Agent Swarms at 1 Trillion Parameters
- Paper Review: PaperBanana: Automating Academic Illustration for AI Scientists
- Paper Review: mHC: Manifold-Constrained Hyper-Connections
- Top-10 ML papers I read in 2025
- Технотекст 2022: шорт-листы по номинациям
- Рубрика «Читаем статьи за вас». Июль — август 2020 года
- Рубрика «Читаем статьи за вас». Июнь 2020 года
- Рубрика «Читаем статьи за вас». Май 2020. Часть 2
- Рубрика «Читаем статьи за вас». Апрель 2020. Часть 2
- Beyond Positional Bias: How DroPE Unlocks Zero-Shot Long Context in LLMs
- Kimi k2.5 Review: Native Multimodality and Agent Swarms at 1 Trillion Parameters
- Paper Review: PaperBanana: Automating Academic Illustration for AI Scientists
- Paper Review: mHC: Manifold-Constrained Hyper-Connections
- Top-10 ML papers I read in 2025
2019:
- ML Training talks about gold winning solution in Kaggle Predicting Molecular Properties Competition
- An overview of 2019 year in Kaggle, Talk in Russian at ODS.AI event
- Data Halloween: predicting chaotic actions of clients. Talk in Russian at ODS.AI event
- Storytelling with data visualization: case of kaggle kernels. Talk in Russian at Data Fest 2019
- Interview with Kaggle Kernels Grandmaster #1: Artgor | Andrew Lukyanenko. Chai Time Data Science | player.fm link
- Kaggle: People, We’ve Gamified Progress
2020:
- Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
- Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
- DataFest 2020 talk: My Kaggle Story
- Overview of approaches to "Mechanisms of Action (MoA) Prediction" competition on Kaggle (3 weeks before the end of the competition)
- Metro Analysis and Visualization
- Writing reusable pipelines in Deep Learning | Mindhack! Summit
- December Lightning Talks. Training pipeline with Pytorch Lightning and Hydra
2021:
- Podcast talk about Kaggle, modern ML technologies, frameworks, hardware, and many other things
- Building your Data Science Career: how to become a data scientist