Igor Gudich

Developed code for configuration and management of SmartNIC FPGA modules for QoS offloading and designed system tests for QoS, VLAN, and VxLAN offloading functionality. Conducted system and performance tests for NVMe-of-TCP/TLS/Open vSwitch workloads for SoC-FPGA based smart NIC (IPU).

Worked on various tasks developing a cross-platform desktop application for MRI and CT scans analysis using C++, QT, and Python. Utilized multiprocessing for parallel DICOM images processing.

Developed algorithms for iris segmentation and image quality assessment, implementing them in C in a resource-constrained environment while optimizing performance. Created a Python framework with a C++ backend for a biometric performance evaluation system, deploying it on Azure Cloud.

Implemented a Z-curve hierarchical algorithm to improve 3D data analysis performance in Mantid software and created a performance profiling system for Mantid algorithms. Contributed to the development of the Scipp framework for physical data analysis with a Python interface, using modern C++ standards.

Created prototypes of modules for time series analysis using Python libraries such as numpy, scipy, and pandas, and implemented these modules in C++ with a multi-threading paradigm. Optimized the performance of old Python scripts and legacy C++ components, and developed statistical models of data.

Developed software for SEM-image analysis using C++, Qt, and OpenCV, and fully refactored old code, redesigning 2D image-processing algorithms for smoothing, contrasting, edge detection, and pattern recognition. Compared in-house codes with OpenCV and other libraries, analyzing OpenCV code to apply the best implementations of algorithms.

Developed software for statistical analysis of mechanical properties of metal and composite materials for aviation, designing algorithms in collaboration with the mathematician's team and implementing them in C++. Created C# wrappers to integrate the statistical library into the software architecture.

Obtained a PhD in computational and applied mathematics. Focused on advanced research and problem-solving in these fields.

Completed a Master's degree in applied mathematics and system programming. Gained expertise in computational methods and system design.