ML & AI Engineer | AI Adoption Consultant — building intelligent systems and automating business workflows
I design and deploy AI automation systems that reduce manual overhead and scale operations. My work sits at the intersection of applied machine learning, agentic AI, and real-world business process engineering — translating complex research into production-ready solutions.
- Building LLM-powered agents, RAG pipelines, and multimodal AI applications
- Defining intelligent workflows that connect AI capabilities to measurable business outcomes
- Graduate-level background in Advanced AI, Multimodal LLM Agents, Machine Learning, and Data Management
Languages: Python, C++, C, Java, TypeScript, Swift
AI / ML: LLMs, LangChain, RAG, ChromaDB, Hugging Face, PyTorch
Automation & Infra: GitHub Actions, Docker, REST APIs, Workflow Orchestration
| Project | Description | Stack |
|---|---|---|
| canvas-ai-tutor | Local-first multimodal AI tutoring platform with RAG, agents, and LMS integration | Python, LLMs, ChromaDB |
| GameHub | A game hub that you can create and add games for family and friends to play on the big screen | TypeScript, CSS |
| G8way | Connecting clients and their computers to their IT professional | Rust, TypeScript, etc... |
| facebook_marketplace_ai_agent | Autonomous AI agent for marketplace task automation | Python, AI Agents |
| Search_Drive | Concurrent multi-threaded file discovery and export tool | Python |
| MassMessengerText | macOS app for bulk SMS automation | Python, Swift |
| OpenClaw_Docker | Containerized deployment infrastructure | TypeScript, Docker |
| Stone-Haven-Homes | Real estate web application | TypeScript |
University of Utah — M.S. Artificial Intelligence (Aug 2025 – Apr 2027)
Brigham Young University — B.S. Computer Science, Machine Learning emphasis, minor in Mathematics (Apr 2025)
- Supervised Machine Learning: Regression — IBM (Oct 2025)
- Exploratory Data Analysis for Machine Learning — IBM (Sep 2025)
Open to new opportunities. Let's connect.