Hugo Juskowiak

Creating a resource usage prediction service for tasks. Understanding and extracting part of the code that is currently present in the executor concerning the prediction and creating an independent service. Resource utilization analysis: conducting an assessment of current resource utilization patterns within the distributed system. Cost and performance optimization: adjust the learning models to improve time-to-completion (TaT) and reduce operational costs. Improving the existing model. Extend the prediction service. Checking the opportunity to extend the prediction service from memory to other metrics, like CPU and Disk usage.

Developed a smart interface using Flask to access and visualize historical data from 5-axis and robotic machining operations, with the goal of replacing the existing SAP-based solution for audit and traceability purposes.

Worked on the aerodynamic design of a Formula Student car, using ANSYS for CFD simulations to optimize airflow and downforce. Also contributed to the mechanical design of aerodynamic components by creating detailed CAD models in Fusion 360.