Alessandro Palmas ๐Ÿš€
Alessandro Palmas

Senior AI/ML Engineer

About Me

Applied AI/ML Engineer with 15 years of experience building intelligent agents through Reinforcement Learning, Multimodal Models, and Simulation. Delivered production-grade solutions across industries from aerospace and defense to robotics. My work spans Reinforcement Learning, physics-based Modeling and Simulation, and now expanding into LLMs, VLMs, and VLAMs. Focused on combining embodied learning with RL and multimodal AI to tackle real-world challenges.

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Interests
  • Reinforcement Learning
  • LLMs / VLMs / VLAMs
  • Embodied/Physical AI
Experience
Education
  • MSc by Research (Post Graduate) Space Engineering

    University of Glasgow

  • MSc AeroSpace Engineering

    Turin Polytechnic

  • MSc Space Engineering

    Milan Polytechnic

  • Multidisciplinary International Program

    Alta Scuola Politecnica

  • BSc Aeronautical and Space Engineering

    Turin Polytechnic

Open Source Projects

Building is the fastest way to learn.

Experience Summary

  1. Senior AI/ML Engineer

    Ubisoft La Forge - Montreal โ€ข Permanent Full-time
    Built and deployed advanced Deep RL systems for AAA games, including scalable multi-agent and curriculum-based algorithms. Led cross-site development of a distributed training pipeline and integrated AI models into proprietary engines for NPCs and simulations.
    Skills: C++ ยท Python ยท PyTorch ยท Deep Reinforcement Learning ยท Large Language Models (LLM) ยท Docker ยท Reinforcement Learning ยท Machine Learning
  2. AI/ML Consultant

    Artificial Twin โ€ข Freelance
    Led end-to-end AI/ML development across RL, LLMs, CV, and MLOps for real and simulated environments. Built and deployed transformer-based models, VLAM prototypes, and industrial CV systems, while maintaining core AI and geometry libraries.
    Skills: C++ ยท Python ยท PyTorch ยท Deep Reinforcement Learning ยท Large Language Models (LLM) ยท Computer Vision ยท Deep Learning ยท Computational Geometry ยท Vision Language Models (VLM) ยท Vision Language Action Models (VLAM) ยท Reinforcement Learning ยท Computational Fluid Dynamics
  3. Founder & Principal AI/ML Engineer

    DIAMBRA (Acquired in Dec 2024) โ€ข Part-time
    Founded and led DIAMBRA, a global RL competition platform with leaderboards and Twitch integration. Built DIAMBRA Arena with Gym-compatible environments to support advanced RL research and seamless library integration.
    Skills: C++ ยท Python ยท PyTorch ยท Deep Reinforcement Learning ยท Docker
  4. Principal Research Engineer

    Nurjana Technologies โ€ข Permanent Full-time
    Designed and deployed AI for autonomous drones and space systems, including CV-based ISR, GNSS-denied navigation, and embedded deployment. Led development of ML algorithms for satellite tracking and multi-UAV autonomy, integrating sensor fusion and simulation-based training.
    Skills: C++ ยท Python ยท PyTorch ยท Computer Vision ยท Deep Learning ยท Deep Reinforcement Learning ยท OpenCV ยท Modeling and Simulation ยท Space Flight Dynamics
  5. AI/ML & Simulation Advisor and Industry Expert

    NATO โ€ข Contract Part-time
    Advised NATO on integrating AI/ML into defense systems for autonomous operations, sensor fusion, and decision-making under uncertainty. Contributed to AI-enhanced C4I for air defense and airdrop missions, focusing on real-time capabilities, trustworthiness, and emerging threat response.
    Skills: Artificial Intelligence ยท Machine Learning ยท Deep Learning ยท Computer Vision ยท Deep Reinforcement Learning ยท Flight Dynamics ยท Computational Fluid Dynamics
Papers
(2023). Performance Index of a Network of Ground-Based Optical Sensors for Space Objects Observation and Measurements. Advances in Space Research.
(2022). Application of Singular Perturbation Theory to Space Flight Dynamics Problems. 73th International Astronautical Congress (IAC).
(2022). Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing. NATO AVT-353 Research Workshop “Artificial Intelligence in Cockpits for UAVs”.