Candidates 1
$3500 / mo
≈ $42000 / year net
AI Engineer
Ukraine · 3 years of experience · Upper-Intermediate ·Published 2 April · In passive search
Ukraine · 3 years of experience · Upper-Intermediate ·Published 2 April · In passive search
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
KEY PROJECTS
Project: Security in Blockchain
Description: Detection of malicious activity in blockchain.
Applied technologies and skills: Scikit-learn, Semi-supervised learning, MLflow, GCP, PyMongo, DVC.
Project: Sentiment Analysis of Reviews
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, Transformer, Fast API.
Project: Skin Features Detection
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
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
Description: Application for detecting watermarks on images.
Applied technologies and skills: PyTorch, Docker, Streamlit.
Project: Hand-Written Diagram Recognition
Description: Application for recognition of hand-drawn content including diagrams.
Applied technologies and skills: PyTorch, Docker, Flask.
• 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
KEY PROJECTS
Project: Security in Blockchain
Description: Detection of malicious activity in blockchain.
Applied technologies and skills: Scikit-learn, Semi-supervised learning, MLflow, GCP, PyMongo, DVC.
Project: Sentiment Analysis of Reviews
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, Transformer, Fast API.
Project: Skin Features Detection
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
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
Description: Application for detecting watermarks on images.
Applied technologies and skills: PyTorch, Docker, Streamlit.
Project: Hand-Written Diagram Recognition
Description: Application for recognition of hand-drawn content including diagrams.
Applied technologies and skills: PyTorch, Docker, Flask.
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.
Python
Machine Learning
Data Science
Git
Deep Learning
Artificial Intelligence
PyTorch
NLP
AWS
Docker
OpenCV
Computer Vision