Position: Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 3


Machine Learning Engineer with 3+ years of experience specializing in developing ML solutions from scratch and adapting existing ones to the customer use-cases.

- Adapted and developed an unsupervised DL model for circuit board anomaly detection
- Performed data engineering and maintained Jenkins automatic testing and training workflow
- Invented the multi-task color image quantization and clusterization approach using the classical computer vision segmentation algorithms
- Developed and deployed a supervised DL segmentation model for determination of the risk of plasma leakage from the magnetic installation
- Researched and developed an end-to-end DL pipeline for deblurring model to restore photo quality
- Increased FPS number for the existed SOTA approaches while preserving the same accuracy by changing the model architecture and applying quantization
- Made the model robust to distortions, e.g., noise, space transformations, motion blur