Position: Machine learning engineer/ R&D engineer
Category: Data Science
English level: fluent
Years of experience: 5

During my work I've:

** Created ML models training pipeline with experiments tracking 
** Developed emotion recognition system which is used now in production 
**  Created algorithm for human attention level estimation
** With colleagues created facial emotion analysis methodology
** Worked on writing installable modules for their further integration in analysis pipeline
** Created a prototype for key-word spotting
Machine learning engineer
* Master's degree in NTUU "Igor Sikorsky's Kyiv Polytechnic University"
* took part in developing a system for Ukrainian Telegram users authentication (so that Russian users couldn't send spam to Ukrainian Telegram bots)

I have worked on:
-  computer vision tasks (ML and classical approaches)
-  signal processing tasks (particularly, speech processing) 
-  creating ML training and monitoring pipelines
-  modifying existing pipelines in production cloud environment


 Particularly, my experience in both ML and classical algorithms includes the following tasks: 
-- 2d and 3d landmarks detection, 
-- human head 3D position prediction (roll/pitch/yaw values ),
-- face detection, 
-- talking face generation (GAN),
-- facial expression analysis and classification,
-- key-word spotting in speech signals,
-- audio signals classification,
-- text-to-image generation (fine-tuning)