Active research
Pure SNN learning
Biologically plausible learning using spike timing, competition, eligibility traces, and reward—without backpropagation.
- SNN
- STDP
- C++
- GPU
Available for thoughtful conversations
Software engineering shaped by how intelligence unfolds through time.
I build dependable production systems and research biologically inspired AI. My current work focuses on spiking neural networks, temporal learning, and efficient C++ implementations.
MNIST accuracy98.10%
EMNIST letters94.37%
STDP window≈10 ms
Current focus
SNN · STDP · Temporal learning · C++ · CUDA · Enterprise integration
Selected work
Current research and production engineering.
Simulation platform
SNNEngine
Event-driven C++ framework for temporal pattern recognition, plasticity experiments, and GPU acceleration.
- C++
- CUDA
- Neuroscience
Production engineering
Enterprise systems
Architecture across utility operations, real-time platforms, APIs, messaging, GIS, and enterprise data.
- Integration
- Real-time
- Cloud
Research focus
Temporal intelligence grounded in biological principles.
Can temporal intelligence scale without abandoning biology?
My work combines local learning, sparse competition, reward-modulated plasticity, and efficient implementation.
- Learning
- Local, timing-dependent adaptation
- Representation
- Sparse competitive activity
- Architecture
- CTM and HTM concepts
- Execution
- CPU and GPU acceleration
Writing
Engineering, biology, and applied AI.
Beyond work
Interactive projects and performances.
About
Engineering depth and research curiosity.
I’m a software engineer based on the Gulf Coast, working across AI and enterprise systems.
I build production-grade software in C++, Python, and .NET. My current focus is spiking neural networks with CTM and HTM concepts.
That research sits alongside a long career in systems where uptime, interoperability, and correctness matter.
Browse my GitHub repositories ↗Contact
Research, engineering, and difficult problems.
Start a conversation
I’m interested in research conversations, ambitious engineering work, and ideas at the boundary of biology and computation.