Alessandro Palmas is a senior AI/ML research engineer with 11 years of hands-on experience building foundation models, reinforcement learning systems, and simulation platforms for aerospace, defense, robotics, and AAA gaming. He bridges deep research and production engineering—having founded and exited DIAMBRA, led distributed RL pipelines at Ubisoft Montréal, and now working on truthful, transparent, safe-by-design models at LawZero under Yoshua Bengio. His expertise spans SFT, RLHF/RLAIF, DPO, multi-agent and curriculum learning, and high-fidelity simulation for embodied agents, with a track record of deploying models to embedded devices and large-scale cloud systems. Alessandro combines strong academic grounding in aerospace and space engineering with product-focused delivery, having authored RL book chapters and shipped libraries for RL, simulation, and geometry processing. Notably, he has repeatedly moved prototypes into operational use—from drone autonomy and space debris tracking to competitive RL platforms—demonstrating a rare blend of theoretical rigor and systems-level execution.
10 years of coding experience
9 years of employment as a software developer
Master of Science (MSc), Space Engineering, 110/110 Cum Laude, Master of Science (MSc), Space Engineering, 110/110 Cum Laude at Politecnico di Milano
Multidisciplinary International Program, V Cycle, Multidisciplinary International Program, V Cycle at Alta Scuola Politecnica
Master of Science (MSc) by Research, Space Engineering, Master of Science (MSc) by Research, Space Engineering at The University of Glasgow
Master of Science (MSc), Aerospace Engineering, 110/110 Cum Laude, Master of Science (MSc), Aerospace Engineering, 110/110 Cum Laude at Politecnico di Torino
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Alessandro Palmas - Senior AI ML Research Engineer at LawZero