Position: AI Engineer
Category: Data Science
English level: upper
Years of experience: 3

I have Bachelor's degree in Artificial Intelligence and Master's degree in Data Science. I have 3 years of experience in AI, stay on top of new technologies and use them in production, pre-sales and researches. I also have an article on Defect Detection In Manufacturing With Unsupervised Learning.
PROFESSIONAL EXPERIENCE

• Deep Learning, Data Science, Computer Vision, NLP
• Models integrating and creating ML apps
• Communication with project stakeholders, demonstration of results
• Knowledge sharing, mentorship, tech leading, pre-sale activity


Project: Sentiment Analysis of Reviews
Role: AI Engineer
Description: Reviews come through data cleaning and formatting stages, then are processed with
models and algorithms to extract keywords, sentiments and opinions.
Applied technologies and skills: PyABSA, NLTK, SpaCy.

Project: Skin Features Detection
Role: AI Engineer
Description: User provides photo of the face. API returns visualization of detected skin features and
calculated scores.
Applied technologies and skills: OpenCV, MediaPipe, Segment Anything, Docker, AWS, Fast API.

Project: Body Measurements Application
Role: AI Engineer
Description: User provides photos and height as a reference. Circumference measurements are
predicted using linear measurements.
Applied technologies and skills: Scikit-learn, Regression models, MediaPipe.

Project: Virtual Wardrobe
Role: AI Engineer, Tech Lead
Description: User provides their photo and selects outfit for virtual dressing room. Application is
based on custom diffusion models.
Applied technologies and skills: Stable Diffusion, Streamlit, MediaPipe.

Project: Watermark Detection
Role: AI Engineer
Description: Application for detecting watermarks on images.
Applied technologies and skills: PyTorch, Docker, WandB, Streamlit.

Project: Hand-Written Diagram Recognition
Role: AI Engineer
Description: Application for recognition of hand-drawn content including diagrams.
Applied technologies and skills: PyTorch, Docker, Flask.