Position: Machine Learning Engineer
Category: Data Science
English level: intermediate
Years of experience: 1

PhD (2022-current), master (2020-2022), bachelor (2016-2020) in applied mathematics:
Qualification work in the field of convolutional neural networks for generating the physical characteristics of materials; optimizing the structural parameters of structures.
Research articles on the visualization of multidimensional spaces, structural optimization, fault detection, mathematical methods of structural analysis.

Engineer researcher in the field of analytics of the dynamics of machine-building structures: Conducted research on the collection, processing and AI analysis of vibration data of dynamic systems for the fault detection.
Internship and subsequent full-time employment as a rotor dynamics engineer in engineering company SoftInWay (USA, Kharkiv department) - established and carried out a procedure for testing mathematical methods for analysis the dynamic characteristics of rotational systems.
Skills:
• Machine Learning: Scikit-learn, CatBoost, XGBoost, LightGBM, Optuna, FEDOT;
• Deep Learning: PyTorch, Keras, TensorFlow, OpenCV, huggingface, RASA;
• CV&Geo: OpenCV, rasterio, shapely, geopandas, Planet API;
• Development: Python, SQL, git, Docker, Flask.

Experience:
Data science engineer. 
Jan. 2022 - now (1+ year)
• Developed a service for sketching images from drones: R&D of a robust bundle adjustment algorithm, seamless merging of images, delivery using a GCP etc.;
• Participated in the development of auto-ml services for urban place analytics - developed and supported services for classification, forecasting, clustering tasks on tabular and telemetry data;
• Performed geospatial analysis - developed satellite images segmentation and classification models for AGB estimation and flood detection. Used rasterio, shapely, geopandas, worked with web services and API for satellite imagery retriving;
• Engaged in R&D projects in NLP field - developed context-free Q&A bot for web pages, researched IF&SF task for automated testing of web applications.