I’m Mauricio, a software developer, artist, physics and math nerd, and an enjoyer of learning.
I recently graduated with a BS in Computer Science and Physics graduate from Northeastern University. My interests lie at the intersection of artificial intelligence, scientific discovery, and innovation.
My work in neuromorphic computing at the Peter Grünberg Institute focused on optimizing algorithms for brain-inspired hardware, while my industry experience at Wayfair involved full-stack and infrastructure development for enterprise applications. I'm fortunate to have contributed to research resulting in an Honorable Mention for Best Paper at IEEE International Conference on Rebooting Computing 2024.
When I'm not exploring the boundaries of AI and algorithm design, I'm actively seeking new challenges that blend theoretical concepts with practical applications. I thrive in environments that push technological limits and welcome opportunities to collaborate on innovative projects.
Reach me through :linkedin: LinkedIn or :github: GitHub.
Gradient matching of higher order combinatorial optimization in quadratic Ising machines
Dmitrii Dobrynin*, Mauricio Tedeschi*, Arne Heittmann, John Paul Strachan. IEEE International Conference on Rebooting Computing 2024. Honorable Mention for Best Paper Award.
I'm deeply interested in AI, software development, algorithm design, and physics. While I’m not an expert in all these areas, I actively explore and apply them through projects and research.
If you’re looking for good conversation starters, look below!