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ahorton

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Location: Santa Cruz, CA Remote: Yes

Willing to relocate: Remote Preferred. SF/Socal Hybrid ok

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.

In a world where AI is become exponentially more intelligent in general, a recurring challenge has become harnessing that intelligence for specific, personalized real world applications, not just generic generalized intelligence. This is what I do in addition to and in conjunction with Product Development, Data Science, and Bot Building.

I scope problems by optimizing for specific organizational or enterprise goals, and choose the tech stack that helps support the achievement of those goals in both the short and long term.

I work with a lot of open source, personalized, persistent AI agent harnesses and platforms; avoiding the lock in of major AI labs and vendors, keeping data private, and allowing the same system to swap in different LLMs.

Technologies and Tools: Claude Code, Hermes Agent Harness, Obsidian, Docker, Terminal (and many others)

Résumé/CV: https://alexhorton.dev Email: horton.alexander@gmail.com

Websites: https://Bitcoinmachinelearning.com https://EnergyScout.org https://Propfi.Live (beta demo)

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Location: Santa Cruz, CA (open to SF Bay Area) Remote: Yes (Remote Only) Willing to relocate: No Technologies: Python, TypeScript, React, Next.js, FastAPI, PostgreSQL, XGBoost, GCP, Docker Résumé/CV: https://alexhorton.dev Email: horton.alexander@gmail.com

  Full-stack engineer with ML background. I've independently shipped three
  production platforms — a solar energy data platform (energyscout.org),
  a systematic ML trading system (bitcoinmachinelearning.com), and a real
  estate investment tool (propfi.live). Engineering design background from
  Cal Poly, supplemented with data science coursework from MIT and Stanford.

  Looking for early-stage teams (seed to Series A) where I can own
  significant surface area and build things that matter in the real world —
  energy, climate, ag, fintech, or anywhere software meets physical systems.