Hello there :)
My name is Yury Davydov. Currently I am a Master's Degree student at National Taipei University of Technology, International Master's Program in Automation and Engineering. I am working on developing neural network modules for autonomous vehicles under the supervision of Professor Wen-Hui Chen in the Intelligent Systems Lab (since Feb. 2022). I am passionate about Deep Learning in general and its applications to autonomous systems and robotics in particular. My other interests include spiking neural networks, neuromorphic hardware and control in conjunction with AI.

• Python for deep learning: NumPy, TensorFlow, PyTorch, and Scikit-Learn libraries. Have experience in building, training and evaluating complex models for classification and regression problems.
• Python for data processing: Pandas, Matplotlib, and Seaborn libraries. Have experience in processing large tabular, textual and image datasets (i.e. KITTI, nuScenes).
• Git: basic usage (creating a repository, commiting, creating pull requests).
• Slurm: basic usage (writing scripts, running processes on distributed computing systems).
• C/C++: basic usage (mainly used this language for writing computational physics models).
• Matlab: basic usage (Matlab + Simulink for building simple control systems; Fuzzy Toolbox, ANN toolbox).
• Soft skills: decent communication skills; capable of effectively presenting my work/research outcomes to a large audience; capable of writing research articles.
• Language skills: Russian (native), English (full proficiency, IELTS-2021: 8.0).

• Developing a neural network model for pedestrian trajectory prediction from monocular image stream (at National Taipei University of Technology, under the supervision of Prof. Wen-Hui Chen).
• Developing methods of classifying image and sound data using Spiking neural networks trained with local plasticity rules (in collaboration with NRC "Kurchatov Institute", Neuromorphic Algorithms Group).