- Spearheaded the extraction, transformation, and loading (ETL) processes, leveraging Python and R to efficiently convert, clean, and format large volumes of data into standardized formats;- Designed and managed cloud-based data processing environments using AWS, including setting up storage solutions, automated processing workflows, and database integration;- Developed and deployed scalable data solutions using Docker

- Developed a GAN model to transform real children's photos into animated characters, inspired by the style of recent Disney films;- Conducted various research projects in machine learning, focusing on creating 3D models from photos, object detection, converting photos of people into animated versions, and exploring additional frameworks.

- Developed and trained machine learning models for text similarity, classification, face recognition, and object detection, utilizing frameworks such as TensorFlow, PyTorch, and BERT;- Optimized and deployed machine learning models on edge devices like Raspberry Pi and Jetson Nano;- Applied NLP techniques to perform text classification and similarity analysis.

- Developed and maintained internal and user documentation, particularly in the field of machine learning, including technical specifications and user manuals.- Created templates and designed various types of technical documentation, adhering to Russian (ГОСТ) and company standards.- Wrote patent applications for software in compliance with Russian and U.S. requirements, and translated them into English.