Contact information

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Work experience

Cloud Backend Engineer, Data Engineer

from 06.2021 to now (2 years 11 months)
ONVY HealthTech, Дистанційно (IT)

- Implemented algorithms and data pipelines for real-time data processing from various wearable devices (Garmin, Oura, Apple Watch, Polar, etc.) using ML for health management
- Incorporated environmental factors (e.g., air quality, temperature, sunlight) into intelligent health-related decisions
- Designed and implemented AWS cloud architectures for efficient data pipelines and robust application backend.
- Successfully conceptualized and executed POCs for novel data-driven HealthTech solutions.
- Managed data lakes and data streams

Co-head of the Artificial Intelligence team. Deep Learning Engineer. Researcher

from 11.2020 to now (3 years 6 months)
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Киев (IT)

- Leveraged and created CV, ML and DL techniques for diagnosing tuberculosis, osteoporosis, infective endocarditis, and brain diseases in collaboration with the National Institute of phthisiology and pulmonology named after F.G. Yanovsky NAMS of Ukraine, Riga Stradinš University, The Heart Institute of Ukraine, Amosov National Institute of Cardiovascular Surgery, Romodanov Neurosurgery Institute NAMS of Ukraine
- Processing military intelligence data from UAVs, contributing to strategic decision-making and security operations.
- Conducted theoretical research in artificial intelligence, transfer learning, semi-supervised learning, and deep learning.

Technical Team Lead. Cloud backend engineer

from 10.2019 to 06.2021 (1 year 8 months)
2701323 Ontario Ltd, Дистанційно (IT)

- Designed and built robust AWS cloud architectures for media-rich web application.
- Developed efficient backend systems to manage and process media content, with a focus on scalability and performance.
- Successfully led and managed a small technical team.
- Coordinated tasks, ensured project delivery, and fostered collaboration.

Software Engineer

from 11.2018 to 06.2019 (7 months)
-, Київ (IT)

- Created an API using Python and Django to analyze tweets, extract relevant information, and predict stock market trends.
- Leveraged Google Cloud Platform (GCP) services for scalability and reliability.
- Developed an intelligent assistant capable of responding to voice commands.
- Utilized PyAutoGUI, OpenCV, PyTesseract, and SpeechRecognition for seamless interaction.

Web developer

from 01.2018 to 06.2018 (5 months)
Karat-Avto, Київ (Автобизнес и автосервис)

- Successfully developed and modified additional modules and functionality for a web application.
- Implemented changes to the car search system on a website.
- Resulted in increased customer engagement and improved company profits.

Education

National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Computer Science (Artificial Intelligence), Київ
Higher, from 2022 to 2026 (4 years)

PhD student

Theoretical and practical research in machine learning, deep learning, and neural networks.

- Co-lead and core engineer of an AI-based R&D team
- Laboratory workshops and consultations in computer vision to masters students
- Supervision of master's students in participation in the All-Ukrainian competition of scientific papers on Artificial Intelligence.

National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Software Engineering, Київ
Higher, from 2020 to 2022 (2 years)

Master's degree.

Theoretical and practical research in machine learning, deep learning, and neural networks.

Additional education and certificates

Leader Up seminars

2020

Coursera Deep Learning and Bayesian Statistics courses

2020

Language proficiencies

• English — advanced
• Russian — fluent
• Ukrainian — fluent
• German — beginner

Additional information

Passionate about bringing innovative AI solutions and data research into ordinary human life and engineering applications.

Interested in R&D projects in the following sectors:
- Health (medicine, mental health, wearables, fitness, nutrition, etc.)
- Finance/Crypto/DeFi
- Innovative transport (e.g. aircraft, watercraft)
- Space research/physics
- History/Archaeology

Skills:
- Implementing AWS cloud infrastructures, backends, APIs, data pipelines
- Image segmentation and object detection models (UNet, DeepLabV3+, YOLO, Vision Transformers, customized architectures, etc.)
- Transfer learning and semi-supervised learning techniques
- Classical image processing and preprocessing techniques: histograms, thresholding, edge detection, textural feature extraction, clustering, and distributions, OpenCV.
- Processing tabular data from various domains including finance, medical records, tests, and wearable devices
- Machine learning algorithms: decision trees, random forests, XGBoost, Naive Bayes, SVM, linear models
- Unsupervised learning methods: dimensionality reduction, clustering (e.g., Gaussian mixtures, k-means), distribution-based
- Building ensemble models
- Math, statistics
- Science-based solutions
- SQL, CQL, NoSQL
- AWS, Serverless (Lambda, API Gateway, AppSync (GraphQL), RDS, Cassandra, VPC, EC2, Kinesis, Glue, Athena, SageMaker, DynamoDB, Comprehend etc.)
- Python (torch, tf, numpy, pandas, plotly, matplotlib, asyncio, sklearn, django, flask, ORMs, boto3, skimage)
- Data science algorithms for cryptocurrency trading