Summary
Azgar Shuvo is a Research Fellow and software engineer with eight years of experience bridging industrial web development and academic R&D in Europe. With an M.Sc. in Computer Science from the University of Trento and hands-on roles at companies and universities, he blends backend engineering, database design, and visualization with machine learning and big data analytics. Currently contributing to EOSC-related climate informatics at HPCI, he focuses on FAIR data, high-performance computing, and building data spaces to accelerate multi-national research. His background includes building real-time inventory microservices, analytical reporting panels, and integrating payment/SMS gateways, demonstrating a knack for production-grade systems. Passionate about extracting insights from large datasets, he applies rigorous ML training/validation practices and enjoys collaborating across academia and industry to operationalize research.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Università di Trento
Bachelor’s Degree, Computer Science & Engineering, Graduated, Bachelor’s Degree, Computer Science & Engineering, Graduated at American International University-Bangladesh (AIUB)
High School, Higher Secondary Certificate (H.S.C), High School, Higher Secondary Certificate (H.S.C) at Rajuk Uttara Model College
Master's in Applied Computer Science, Master's in Applied Computer Science at The University of Göttingen
English, Bengali, Italian