Currently working as a machine learning engineer.
Interests on AI, data science, machine learning and related fields.
- 2024-08-07: hms-harmful-brain-activity-classification: Self-Labeling Refinement [Gold medal - 151 upvotes] 🥇
- 2024-08-03: hms-harmful-brain-activity-classification: Spectrogram Creation Using GPU [Gold medal - 110 upvotes] 🥇
- February 2025: First-place solution report in the CardI-HACK Challenge [In English]
- October 27, 2023: Webinar presentation of the third-place solution in the AI/ML Challenge for 5G Energy Consumption Modeling [In English]
- November 03, 2024: Webinar presentation of the first-place solution in the Adrenalin Load Disaggregation Challenge [In English]
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🏥 Healthcare & Genomics
- CardI-HACK 2025 - Hypertrophic Cardiomyopathy Prognosis | GitHub Repository [1st place - Team CyberBob] 🥇
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📈 Time-series
- Load disaggregation Challenge 2024: Unsupervised Learning [Gold medal - 1th place - Top 1%] 🥇
- ITU AI ML in 5G Challenge 2023: Forecast Regression [Gold medal - 3th place - Top 1%] 🥇
- Enefit 2024 - Predict Energy Behavior of Prosumers: Forecast Regression [Silver medal - 109th place - Top 4%] 🥈
- Adia Lab Causal Discovery Challenge - 2024 [13th place - Top 2%] 🥈
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🖼️ Computer vision
- HMS 2024 - Harmful Brain Activity Classification [Silver medal - 78rd place - Top 3%] 🥈
- ISIC 2024 - Skin Cancer Detection with 3D-TBP [Code Competition - Binary classification]
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📄 Natural language processing
- CAFA 5 2023 - Protein Function Prediction [186th place - Top 12%]
- Learning Agency Lab - Automated Essay Scoring [Code Competition - NLP]
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🗃️ Quant
- Robust Portfolio Execution Trading Algorithm with ML [Proven Over 10 Years on Real Trading Accounts with Over 1000 Users | MQL5, C++, Python]
- Tool for Creation and Analysis of Portfolio Trading [Calculating Risk-Return, Optimizing Best Portfolios, and Visual Analysis | MQL5, C++, Python]
Here is my data science & machine learning portfolio 🤖
Thanks for passing by.