about
Working at the intersection of graph theory, cryptography, and machine learning. Designing systems that respect structural and trust constraints.
DAGs, BFS, topological sorting, these aren't just algorithms, they're ways of understanding structure in a connected world. Now extending that thinking into neural architectures.
interests
- neural networks
- privacy-preserving ML
- cryptographic protocols
- distributed systems
- audio and signal analysis
contact
Open to collaborations on graph algorithms, privacy tech, audio, and infrastructure.