Summary
Ahmed Jardak is a software engineer based in Germany with a broad 13-year background and 4+ years focused on backend development and data-driven solutions. He has moved between roles in enterprise and startup settings, currently contributing to ALPHA Augmented Services after impactful data science and high-performance computing work at Infor and MASS Analytics. His experience spans productionizing ML models, custom loss functions for XGBoost, GPU-accelerated regression and genetic algorithms, and engineering connectivity checks for digital-twin building systems. Comfortable bridging research and engineering, he pairs a Master’s in Information Processing with hands-on skills in CUDA, time-series modeling, and practical deployment. Notably, he has delivered measurable performance gains (GPU speedups) and refined maritime ETA predictions—showing a knack for turning complex models into production improvements. Analytical, versatile, and product-minded, he thrives on optimizing systems where data, performance, and real-world constraints meet.
13 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at National Engineering School of Tunis (ENIT), University of Tunis El Manar
Master's of Research, Information Processing and Complexity of the Living, Master's of Research, Information Processing and Complexity of the Living at Université Paris Cité
Pre-engineering courses, Mathematics and physics, Pre-engineering courses, Mathematics and physics at Preparatory Institute for Engineering Studies Sfax (IPEIS)