ML Engineer 💣
💥 Deep Learning: PyTorch, NLP, CV, Object detection, Object recognition.
❄ Machine Learning: Regression, Classification, Catboost, Feature Engineering, Model Evaluation and Validation.
💻 Programming Languages: Python, SQL.
🔧 Tools and Technologies: Git, Streamlit,
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DigitalHack 2024 - Automation of Technological Process Detection on Russian Railways.
1st place. Development of a system for detecting violators based on the YoloV10 model and real-time object tracking. -
AtomicHack 2024 - Detection and Classification of Welding Seam Defects.
3rd place. A service based on YoloV10 for working with images of welding seam defects from Rosatom. -
DigitalHack 2024 - Normalization of Nomenclature to the Official Classifier.
5th place. An AI-powered software module for matching construction nomenclature to the construction resource directory. -
DigitalHack 2024 - Qna system for technical documentation.
4th place. A web service that collects information and generates answers to users' questions by analyzing text and/or code.