Igor
Verified
5+ Years in Data Science
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Team Lead Data Science
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Berlin, Germany
Prefferd tech
Tech Stack: Python C++ PyTorch Tensorflow LLMs NLP Computer Vision Git Linux TFLite Visual Transformers Reinforcement Learning Object Detection Object Tracking Semantic Segmentation Depth Estimation SLAM GANs Time Series Analysis SQL MapReduce Machine Learning Neural Networks XGBoost CatBoost Robotics Big Data Scikit-learn CI/CD Unit Tests Kaggle MLFlow DVC Kubernetes Docker
Tech Skills: CV, ML
Expert’s cases:
Led a team of 3 engineers on two projects: live broadcasting using CV and video analytics – Super-light detection models for embedded devices (C++, TFLite, model quantization) – Tracking models for sports analytics (Visual Transformers, ByteTrack, Ultralytics) – Created system of experiments’ tracking and evaluation (MLFlow, DVC)
Led a team of 5 data scientists – Model for detection and classification of lego blocks (Python, Keras, Tensorflow) – Solution for object tracking and frame stitching (Python, PyTorch, SORT, OpenCV) – Assembled training pipelines with active learning (Toloka.ai)
Crop classification on satellite images. Increased F1 score +9% – Novel model for phenophases prediction, based on weather conditions