Emergant
High-performance reinforcement learning with PyTorch and CUDA that simulates ant colony behaviors through emergent AI. Contributed to PufferLib.
View on GitHub“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.
Open resumeShowcasing the AI/ML research and software engineering work I do in my free time…
GraphGuru
Open-source Python library for knowledge graph construction and manipulation — semantic search, entity relationships, and knowledge representation.
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Evolvium
Evolution simulator modeling natural selection, genetic variation, and population dynamics — emergent patterns from simple rules.
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