Ultra-low latency open-weights language model optimized for code generation, ZK-proof verification, and high-frequency agentic tasks.
Spatial logic neural network trained on millions of high-resolution lidar, medical, and autonomous drone camera feeds.
High-dimensional vector embedding engine for sub-millisecond similarity search across petabyte-scale knowledge bases.
Ex-DeepMind. Author of 24+ papers on Transformer attention optimization and Sparse Weights.
Specialist in CUDA kernel optimization, zero-copy memory pipelines, and H100 distributed clusters.
Pioneer in Zero-Knowledge AI Proofs, homomorphic encryption, and enterprise AI compliance.