Data Engineer • Machine Learning • Backend
ITMO University student building toward ML Engineering. 3 years of commercial experience as a Data Engineer — Spark pipelines, Kafka streaming, Greenplum, Clickhouse. Interested in high-load systems, applied ML, and clean data architecture. Enthusiast, ambassador of love, builder of small, meaningful things
Machine learning
Data engineering
Backend and general
Desktop and frontend
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Aggressive reminders with escalation tiers (MONEO -> INSTO -> COGO) and an adaptive brain that learns when to push you. PWA + Android. 
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Step-budgeted walking routes with local sights, interactive map, and smart metro travel integration.
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Voice-activated blood pressure diary with history, charts, PDF physician reports, and offline-first storage.
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A quiet daily quote app with stoic notes, favorites, PWA install, and desktop/mobile builds. 
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A personal discipline tracker built on faith, habit, and scripture.
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Minimal VLESS Reality client for Windows, Linux and Android. Own server, local keys, no accounts or telemetry.
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Six generative p5.js postcards: a peony, a constellation, a letter. Personalized via URL params.
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Interactive WebGL galaxy map with raymarched nebulae, black holes, wormholes and object dossiers. 
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Comprehensive guide and curated resources for mastering Machine Learning Engineering. |
End-to-end ML pipeline: Generator -> Kafka -> Spark -> ClickHouse -> Airflow -> XGBoost -> FastAPI. |
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Hybrid LSTM + Linear Trend model for hourly user activity forecasting. R^2 0.79, MAPE 4%. |
Open for freelance, collabs, or just talk — reach me out on Telegram or VK.
“The cosmos is within us. We are made of star-stuff.”
— Carl Sagan