Position: Machine learning engineer
Category: Data Science
English level: intermediate
Years of experience: 2

- Nova Poshta Innovations Hackathon 2023 1st place
- Developed innovative text/voice assistant. 
- Released AI app on Play Market.
- Adapted transformer model for Android devices. 

- present LLM voice/text assistant
- 30.03.2023 - 30.04.2023 BMW self-driving emergency vehicle light detection.
- 01.12.2022 - 30.03.2023 Bank web service for extracting structured info from images.
- 01.11.2021 - 30.11.2022 Android app powered by NNs for detection, classification, and enhancement of document images.
- 01.03.2022 - 30.04.2022 NLP-based decision maker for advertising placement
- 10.09.2021 - 25.09.2021 Automobiles catalytic converters classifier
- 01.08.2021 - 30.10.2021 Anomalies detection on a production line using an autoencoder.
Last 2 years I've been working with image data as an ML/CV Engineer. This included
- Research and hypothesis definition
- Data Engineering: image data, video, text data
- Model Training: object detection, image classification.
- Model Deployment: creating web service and porting models, creating voice and text assistants based on LLM.
- Model Monitoring and Maintenance: automation pipelines and error analysis.
- Creating an Android app.
- Creating demos and close collaboration with customers 


- Experience with MLflow and W&B
- Experience with CURL, Postman, and Flask
I aspire to be part of a professional team that offers opportunities for both personal growth and project development. I would like to apply all my knowledge and skills to create a meaningful and useful project.