Denis Dylko is a skilled Computer Vision and Machine Learning Engineer with over 8 years of experience in the field. With a degree in Electrical and Electronics Engineering from Belarusian State University of Informatics and Radioelectronics, Denis has designed and developed numerous Computer Vision systems that have significantly contributed to the automation industry, paper document analysis, geometry measurement, garbage sorting, and food quality control. Throughout his career, Denis has honed skills in Machine Learning, Computer Vision, and Software Engineering. Notable technologies he has become proficient include OpenCV, TensorFlow, Keras, DNN, ANN, scikit-learn, OCR, Python, C/C++, docker, git, mlflow, dvc, Qt, boost, Data Driven Development, TDD, CI/CD, multithreading, cross-platform, containers, Linux, Windows, and Databricks. His experience in team leadership while at Machine Vision Lab and his ability to work autonomously and prioritizing tasks set him apart from his peers. Denis is also experienced in classic image processing techniques, ML-based object recognition, classification, deep learning, CNNs, RNNs, and point clouds. Denis is seeking new challenges and is willing to relocate.