At Fieldhouse I help teams adopt generative AI carefully: diligence for sensitive data, Copilot workflows, Salesforce-connected assistants, and custom agents that turn CRM history into useful prep. I also build Power Apps and Power Automate solutions, and I have worked extensively in Power BI there, including a rebalancing engine for insights on optimizing portfolio and account rebalancing.
Skills
I care less about laundry lists of tools and more about what I can actually ship with them. Here is how I work across AI systems, research, code, and business platforms. I am also familiar with ChatGPT and Claude for analysis and drafting.
AI systems & automation
Business & case strategy
Through JDC West and stock-pitch work I have also used SaaS/ERP strategy framing and ADKAR-oriented change planning.
Research & machine learning
My research side is PyTorch, explainability, and models that have to hold up when data is messy or scarce. That includes ConvKAN vs CNN work, low-resource generative NLP for Dakelh (custom BPE tokenizers with Hugging Face Transformers), MediaPipe vision pipelines, GPU training, and honours work on robust consensus under spatially correlated noise.
Languages, web & systems
Day to day I write Python, JavaScript, SQL, Java, and Dart, plus HTML, CSS, and Markdown. I have shipped Firebase apps with Google Auth, REST integrations, and GitHub Actions schedules. Closer to the metal I teach and work in C/C++, AArch64 assembly, Verilog, GPIO, and concurrent programming. I have also built with Django, Flutter, Astro, Tailwind, and Cloudflare Pages / R2, using VS Code, Git, Node/npm, Linux, Logisim, LaTeX, and Scratch when teaching younger students.
Field sensing & teaching labs
As a TA I taught aerial data capture with DJI Matrice 350 RTK drones and photogrammetry pipelines from imagery toward 3D reconstruction. I used DJI Terra lightly in that workflow. I also taught digital logic and architecture labs, and volunteered teaching Scratch to grades 4–7.