Brain skills

- Steel anomalies detection. I Developed the model and made a service for it. Product, based on this service helped to reduce production costs twice decrease the level of defects in steel production by half. - Streamlit service for Reader-Translator-Generator. I made Streamlit service, which helped to further cooperate on the project and make the end product using provided codebase.

BroutonLab

Worked tightly with historical department and translated their business needs to code. During the project I gave the instructions for labeling, training the OCR model, collected metrics, feedback and created image-to-text system, which allowed increase the speed historians are working with. MVP for video interview emotion recognition and text-to-speech analysis. I created the prototype of a streamlit service for emotion recognition and TTS analysis for HR systems. My work helped to decrease the time of processing candidates’ interviews by a hiring recruiter thrice. Multimodal emotion recognition using attention in the wild. During the project the model for challenging in-the-wild dataset was created, final accuracy of the model is 62%, which is only 2% lower than state-of-the-art model. The model was optimized, using Apache TVM. Optimized model reduced costs by half and increased model inference speed by 30%.

Bloomfield Robotics

• Extended existing pipeline from single class to multiclass. This helped to decrease cost of inference by 20%. • Created grid search pipeline for existing models, which helped to increase accuracy of the models for various classes by 8%. • Suggested semi-suprevised learning to highly decrease labeling time and increase labeling speed. This feature allowed to utilize big amounts of unlabeled data and increase the accuracy of the whole pipeline by 6% without labeling efforts.