Robotics • Computer Vision • Intelligent Control • Edge AI
I am currently pursuing my Master's degree at DEI UNIPD, focusing on the synthesis of classical control theory with modern learning-based approaches. I am also working as an AI Embedded Software Intern at Axelera AI, where I contribute to the development of firmware and drivers for next-generation AI accelerator chips, focusing on edge AI and embedded systems development for RISC-V and ARM processors.
My academic and professional work centers on the design and implementation of autonomous systems, with particular emphasis on:
- Robotics & Kinematics: Modeling and control of non-linear systems (Multirotors, Mobile Robots).
- Computer Vision: Real-time perception and state estimation using OpenCV and Deep Learning.
- Machine Learning: Applying Reinforcement Learning (RL) to continuous control problems.
- Edge AI & Embedded Systems: Firmware and driver development for AI hardware accelerators, optimizing neural network inference on resource-constrained devices.
| Robotics & Control | AI & Computer Vision | Embedded Systems | DevOps & Cloud |
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