I'm a software engineer and Gonzaga graduate based in Spokane. I work on AI agents, machine-learning infrastructure, robotics, and performance-critical software—and I like understanding how things work all the way down.
Things I have recently built, researched, or am still actively improving.
GPU-accelerated Transformer inference and evaluation framework for profiling latency, throughput, memory behavior, and utilization across batch sizes, sequence lengths, and precision settings.
End-to-end anomaly detection pipeline for large-scale system logs using sequence modeling, structured tokenization, and iterative refinement.
PyTorch and MuJoCo reinforcement-learning environments for Unitree B2 and H1 robots, with reward shaping and gait-stability metrics for locomotion training and evaluation.
Multithreaded C/Linux runtime with an explicit lifecycle state machine, graceful shutdown, a lock-free bounded SPSC ring buffer, and a bounded MPMC queue.
Professional work across AI products, cloud platforms, robotics, and university classrooms.
Registered Agents Inc. / Corporate Tools
Python · Ruby on Rails · Vue.js · AI Agents · MCP
Mocerto
Next.js · TypeScript · Google Cloud · PostgreSQL · Cloud Storage
Pangeon
Python · PyTorch · CUDA · MuJoCo · RL · SQL · Docker · Elasticsearch
Gonzaga University
Model Context Protocol, tool routing, agent workflows, Transformers
CUDA, PyTorch, GPU profiling, mixed precision, reinforcement learning
C, C++, Linux/Unix, POSIX Threads, concurrency, socket programming
Python, SQL, PostgreSQL, Docker, Google Cloud, Azure VMs
B.S. Computer Science · Data Science Concentration
I'm always happy to talk about AI infrastructure, ML systems, robotics, or an interesting software problem.