Research Software Engineer focused on high-performance systems for AI and scientific computing.
I build complex systems that combine agentic architectures, GPU-accelerated simulation, and quantum-inspired computing. My work emphasizes performance, low-level optimization, and the design of sovereign, real-world technical solutions.
- High-performance systems and GPU acceleration (CUDA)
- Agentic architectures and intelligent system design
- Simulation and quantum-inspired computing
- Computational neuroscience foundations
- KHAOS — High-performance closed-loop BCI kernel with sub-100µs latency, compiler-level safety enforcement, and post-quantum cryptography.
- SUBSTRATE — Multi-scale simulation framework achieving up to 354× speedup in GPU-accelerated physics and quantum biology solvers.
- HELIOS — Predictive real-time microgrid controller combining Rust systems programming with machine learning forecasting.
- PROMETHEUS — Distributed LLM pretraining framework using PyTorch FSDP with activation checkpointing and Flash Attention.
- EIGEN — Quantum-inspired threat modeling system using transverse-field Ising models and high-performance solvers.
- KINECT-NIR — Real-time infrared object detection and tracking pipeline with CUDA acceleration and TensorRT inference.
- SESHAT — Combinatorial optimization framework using QUBO and Simulated Annealing applied to undeciphered scripts.
CUDA · C++17 · Rust · Python · PyTorch · TensorRT · SLURM
Focused on building performant, sovereign systems at the intersection of AI, simulation, and quantum-inspired computing.


