Nikita is a Machine Learning Engineer with up-to-date knowledge of ML product lifecycle from dataset collection to training models and pipelines and model maintenance on projects. He researches, designs, implements and assesses ML solutions - refining, validating and scaling products and delivery models on projects. He strives to deliver new insights and recommendations to enhance performance and scalability.
Worked on Semantic segmentation of medical images using input data from medical files in Dicom format. Built the dataset and trained the convolutional neural network - researching new techniques, validating data, processing data and evaluating models.
Embarked and contributed to processes and tasks to identify new methods for creating chatbots for the client - working with open-source datasets and machine learning methods to build a question and answer system on the project.
Participated in research processes to design and implement a proof of concept ML algorithm for generating text from keywords. Worked on data analysis and utilized new ML solutions to train models and parse volumes of data from documents for the project.
Built and deployed a new Senetik data generator to enhance detection and object tracking on the project. Worked on architecture design, created annotations for data, trained and evaluated the ML model, and reviewed code on the solution.
Education
Bachelor's Degree
Belarusian State University of Informatics and Radioelectronics
