Summary
Salvatore Giampà is a data engineering consultant with 8 years of experience specializing in AI-driven solutions, deep learning model development, and scalable big data systems. He has moved between industry and academia, delivering production-focused models—GANs, VAEs, and self-attention architectures—for tasks from counterfeit detection to crop yield and crop type mapping. His background in distributed systems and parallel computing led to design and implementation of ParSoDA-Py and contributions to HySea acceleration work, showing a rare blend of ML modeling and high-performance pipeline engineering. Currently at Lutech working on the ENEL Next project, he pairs strong computer engineering fundamentals with practical experience in Spark, COMPSs and PyTorch/Keras toolchains. A dual-mastered graduate in Computer Engineering and AI & Data Science, he brings research rigor (including an exascale scheduling publication) to applied data products. Based in Calabria, Italy, he often bridges algorithmic innovation and system-level optimization to shrink ML response times in real-world early-warning and enterprise applications.
8 years of coding experience
5 years of employment as a software developer
Scientific Diploma, Natural Science and Informatics, Scientific Diploma, Natural Science and Informatics at Luigi Siciliani Scientific High School in Catanzaro
Second Level Master's Degree in Artificial Intelligence & Data Science, Artificial Intelligence, 110/110, Second Level Master's Degree in Artificial Intelligence & Data Science, Artificial Intelligence, 110/110 at University of Calabria
Italian, English