AI-First Systems Architect • Founder • Indigenous Language Technology Researcher • Artist
Building trustworthy AI, language technology, and cultural preservation systems that connect software engineering with real-world impact.
I design AI-first systems that organizations can trust.
My work focuses on making advanced AI deterministic, observable, auditable, and safe for deployment in government, enterprise, education, healthcare, and cultural preservation.
Alongside enterprise AI, I develop technologies that strengthen low-resource Indigenous languages through open research, software, and digital knowledge preservation.
- Autonomous AI Software Factories
- AI Governance & Responsible AI
- Enterprise AI Architecture
- Low-Resource Language Models
- AI-Native Product Engineering
- Human-AI Collaboration
- Indigenous Language Technology
- Cultural Preservation through Digital Systems
- Creative Technology & Digital Art
| Domain | Focus |
|---|---|
| AI Architecture | AI-first platforms, agentic systems, orchestration, observability |
| Responsible AI | Evaluation, governance, auditability, risk reduction |
| Machine Learning | NLP, reinforcement learning, computer vision |
| Low-Resource Languages | Tokenization, corpus development, language tooling |
| Mobile & Edge AI | Android, real-time inference, media systems |
| Product Engineering | Enterprise software architecture, developer platforms |
| Creative Technology | 3D graphics, XR, procedural content, digital art |
description
description
MoniCode (AI Coding Agent Platform), MEGs (MoniGarr Engineering Glyphs, MES (MoniGarr Engineering Systems), M.O.M. (MoniGarr Operating Model), M.I.L.E. (MoniGarr Intelligence Led Engineering)
Research into tokenization and language tooling for polysynthetic Indigenous languages.
AI-first engineering methodology emphasizing reproducibility, governance, documentation, and autonomous software delivery.
Architectural framework for trustworthy AI systems including:
- semantic caching
- context management
- AI cost optimization
- evaluation pipelines
- governance
- observability
Exploring practical approaches for deploying generative AI responsibly in environments requiring accountability, transparency, and institutional trust.
AI & ML
PyTorch • TensorFlow • JAX • Hugging Face • vLLM • Triton
Agent Systems
LangGraph • LangChain • DSPy • AutoGen
Infrastructure
Python • Docker • Kubernetes • AWS • Azure • GitHub Actions
Data
PostgreSQL • DuckDB • Vector Databases • MLflow
Creative Technology
Unity • Unreal Engine • Blender • Maya • Substance 3D
Technology is only part of my work.
I also create:
- Kanien'kéha language resources
- educational content
- beadwork and Indigenous art
- digital cultural preservation tools
- AI learning materials
I believe engineering, language, culture, and creativity strengthen one another.
I enjoy working with organizations solving difficult problems involving:
- trustworthy AI
- language revitalization
- public sector innovation
- healthcare AI
- education technology
- enterprise AI platforms
- digital preservation
- mission-critical software
Build systems people can trust.
Preserve knowledge worth carrying forward.
Create technology that remains useful long after today's models become obsolete.