Uddeshya Srivastava

- Software design and development for machine vision solutions (object recognition and anomaly detection) - Responsible for the evaluation and validation of technologies for embedded processors (GPU, CPU, AI). - Work in image processing for embedded systems. - Customize object detection and execution on the embedded KRIA (KV260) device. - Development of a Deep Learning Approach for enhancing Image Resolution in Computer Vision Tasks

Anomaly detection for predictive maintenance with AI in Industry 4.0 - Access to data from PostgreSQL and conversion in a Pandas data frame by executing queries in tables. - Data cleaning and visualization. - Splitting the data for different sensors and storage of data in SQLite. - Creation and deployment of a Data application with Plotly-Dash. - Connecting the Python backend code with Unity via Flask for visualization with augmented reality. - Running the application on a cloud server with Docker

Friction testing of petrol engines according to the Strip method - Analysis and comparison of the results on a scatter plot (with uni-plot) with data of of similar engines and provision of recommendations for customers. - Direct and active contact with customers in Europe and Asia to better meet their needs and needs and build strong relationships.

Specialization in Data Science and Machine Learning