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Age: 19
Fundamental AI Research · Learning methods, architecture & safety
Interested in brain-inspired learning, modern empirical methods, and mathematical foundations of intelligence.
Currently, spending most of my time reading on Neuroscience, Mathematics and AI Origins.
# Current Research Interests
→ Brain-inspired learning — how biological neural circuits inform artificial architectures
→ Empirical deep learning — understanding what makes neural networks work through rigorous experimentation
→ Mathematical foundations — theoretical frameworks for learning, optimization, and generalization
→ Multimodal understanding — bridging vision, language, and structured knowledge
# About
Started programming at age 9. Published first app at 11. Built robots, shipped products, interned at research labs.
Now pivoting from applied ML and product development toward fundamental research — understanding why things work, not just how to make them work.
Fascinated by the intersection of neuroscience and machine learning. Looking outside the emperically fueled ratrace of current AI progress into how learning is accomplished by humans.
Beyond research: education access, science outreach.
# Journey
# Contact
Open to research collaborations, interesting problems, and meaningful conversations about the future of intelligence.