Location: Santa Cruz, CA Remote: Yes Willing to relocate: No

Technologies: Python, AI-assisted development, LLM workflows, agentic AI, MCP/tool use, Claude/Cursor/Hermes, data analysis, API integrations, product prototyping, Next.js/React, PostgreSQL, automation, ML, product analytics Résumé/CV: https://alexhorton.dev Email: horton.alexander@gmail.com

Applied AI / product builder. I’m strongest at turning messy ideas, workflows, datasets, and APIs into useful AI-assisted products and prototypes — especially where product judgment, user understanding, automation, and modern LLM/agent tooling matter.

Recent work: - Built and operate a private multi-agent Hermes/OpenClaw-style workflow system with specialist agents, Telegram/voice interfaces, model routing, tool use, and persistent memory. - Built Energy Scout, a solar ROI/incentive decision-support tool for homeowners evaluating energy options. - Built Bitcoin Machine Learning, a financial signal research project using supervised ML and market/macro/on-chain data. - Built PropFi, a property analytics prototype using SQL/data modeling and real-time data/API integrations.

I’m not trying to present as a conventional senior backend/platform engineer. My edge is more unusual: I use AI tools and product sense to build useful systems quickly, connect APIs/data/workflows, prototype product surfaces, and find where LLMs or automation can create leverage.

I’m especially interested in agentic AI, AI devtools, workflow automation, climate/energy/resilience, sustainable agriculture/food systems, fintech/proptech, education, open-source/public-interest tech, and tools that make people or small teams more capable.

Best fit: founder-led or small teams that need a product-minded AI builder / systems integrator / prototyper who can help move an ambiguous idea toward a working product.