Summary
Mikele Gajda is a data scientist and operations research specialist with 11 years of experience applying mathematical programming, optimization algorithms, and machine learning to real-world logistics and resource-allocation problems. Based in Lausanne, he has transitioned academic rigor into production-grade systems—leading development of a fair grant-allocation platform at HEC Lausanne and driving environmental decision-support tools at Earth Action. His PhD work fused combinatorial optimization with deep reinforcement learning for vehicle routing, scheduling and packing, producing multiple publications and international presentations. Mikele combines back-end engineering and intuitive front-end design to deliver usable optimization tools, and has a track record of measurable impact such as a 20% space-utilization gain from an industry container-loading algorithm. He values deep work, clean solutions, and learning by building, and outside of engineering he’s quietly plotting a future small farm and slow travels that reflect his preference for practical, grounded solutions.
11 years of coding experience
2 years of employment as a software developer
PhD in Operations Research, PhD in Operations Research at University of Lausanne
Master's degree Computer Science & Engineering, Master's degree Computer Science & Engineering at Università degli Studi di Brescia
Technical University of Denmark
High School Diploma General Science, High School Diploma General Science at Liceo Scientifico Enrico Fermi, Salò
Italian, Albanian, English, French