Welcome to the official web page of My SGH Courses.
I’m a theoretical physicist and Assistant Professor at the Decision Analysis and Support Unit, Warsaw School of Economics (Poland), where I’ve established myself as a specialist in graph theory. With a strong background in creating new variables based on community structures, I’ve applied my expertise to various business domains, leveraging the power of graph analysis for data-driven insights.
In addition to my research focus, I possess extensive experience with data analysis using advanced machine learning (ML) and deep learning (DL) models, both in batch mode and real-time processing. This expertise has enabled me to develop efficient solutions for a range of applications.
As an MLOps professional, I play a critical role in ensuring the smooth deployment of model solutions in cloud environments. My responsibilities include code verification, testing, and validation to guarantee the performance and reliability of our models.
One area that particularly excites me is the intersection of physics and machine learning, where I’m exploring the potential of quantum machine learning. By combining my knowledge of physics with modern technologies, I aim to unlock new applications and breakthroughs in this emerging field.
Throughout my career, I’ve developed a strong passion for creating innovative solutions that drive meaningful impact. I’m committed to staying at the forefront of cutting-edge technologies and collaborating with like-minded professionals to push the boundaries of what’s possible
Analiza danych w czasie rzeczywistym
Wprowadzenie do kwantowego uczenia maszynowego
SGH Warsaw School of Economics Collegium of Economic Analysis al. Niepodległości 162 02-554 Warsaw, Poland
sebastian.zajac [at] sgh.waw.pl