An inline LLM firewall with a sub-10 ms p99 latency target — built in layers across five documented phases. Sits between your app and any LLM endpoint to classify, redact, or block threats in real time, then continuously retrains itself when drift is detected.

Multimodal product matching system using LLaVA, BERT, and DINOv2 with Triton Inference, FAISS, and MongoDB

Tungsten Alpha: A JAX-native, 7-layer Adelic-Riemannian Operating System. Implements resurgent gradient flow through discrete logic and Levi-Civita parallel transport for decentralized XLA clusters. Hardened for zero-jitter, systolic array execution.

High-performance Triton kernel library for LLM training with 12 fused operators (AttnRes, RMSNorm, RoPE, CrossEntropy, GRPO, JSD, FusedLinear, etc.) — up to 24x faster than PyTorch with 78% memory savings, outperforming Liger-Kernel on RTX 5090