"What keeps me going is goals."
- Muhammad Ali
Matan Itah
I'm a passionate AI/ML engineer and data scientist with a degree in mathematics and computer science from UC San Diego. With expertise in both traditional machine learning and large language models, I specialize in developing and deploying scalable AI solutions that drive real-world impact. My background in mathematics enables me to approach complex problems with analytical rigor, while my experience in software engineering allows me to build robust, production-ready systems. I thrive when I'm applying interesting tech to real world problems, and in environments where I am given the freedom to innovate. In my free time, I practice mixed martial arts and teach yoga, and love cooking and playing guitar.
- City: New York City, USA
- Email: itah.matan@gmail.com
- Phone: (+1) 203-445-3445
Showcasing the AI/ML research, and software engineering work I do in my free time...
Emergant
Built a high-performance reinforcement learning system using PyTorch and CUDA that simulates complex ant colony behaviors through emergent AI. Developed computationally efficient algorithms that enabled scalable multi-agent learning. Contributed this work as an open-source addition to PufferLib, a state-of-the-art RL research library.
GraphGuru
Designed and developed an open-source Python library for knowledge graph construction and manipulation, enabling efficient graph-based data modeling for AI applications. Actively maintained with ongoing contributions, used in production projects to power semantic search, entity relationships, and knowledge representation systems.
Evolvium
Created an open-source evolution simulator that models complex biological systems including natural selection, genetic variation, and population dynamics. Built to demonstrate emergent behaviors and computational biology principles, showcasing how simple rules can generate sophisticated evolutionary patterns through algorithmic simulation.