Position: Data Scientist (Computer Vision and Machine Learning)
Category: Data Science
English level: upper
Years of experience: 11

Developed model training and inference pipelines for object detection and object classification for 50+ classes within one month independently.
I'm first who is built Tensorflow Serving from binaries for running models on ARM64 architecture devices.
Hackathon winner with Visual AI assistant project.
Main projects from 4 years of experience in Data Science:
• Managed 2-person team and built MVP for road traffic analytics with Nvidia DeepStream, data streamer RabbitMQ and analytics in Grafana automated with Helm charts.
• Developed Machine Learning pipeline to detect items on shelves and classify them using PyTorch and OpenCV.
• Developed person detection and multi-stream camera tracking system with Tensorflow and OpenCV.
• Implemented federated learning approach in multi-location environment with PySyft.
• Built distributed inference server based on Tensorflow Serving and Kubernetes on ARM64 architecture.

6+ years in SQL and BI:
• Developed new reports and dashboards with JasperReports, Tableau, Grafana according to business requests.
• Analyzed business data and create mockups for new dashboards.
• Optimized existing report queries.
• Created views and materialized views in PostgreSQL and MySQL.
• Developed functions and procedures in Oracle DB.
I don't work with people who support Ukrainian genocide.
Don't want to work with tabular data and NLP.

I want to continue my way in Computer Vision, and I'm interested in MLOps. 
Would be great to work in a highly skilled team.