I research the opportunity, shape the product, and build the first working version.
I use market research, user feedback, business and data analysis, design, and engineering to figure out what should be built and whether it works.
My path runs through human-centered engineering, sustainability, solar economics, markets, software, machine learning, and agent systems. The common thread is building around a real decision, then testing the result against reality.
Formal resume
Alex Horton
horton.alexander@gmail.com
alexhorton.dev/contact
Profile
Product engineer focused on the full 0→1 loop: research markets and users, find a practical wedge, shape the product experience, build the first working version, and test adoption. Uses business and data analysis, product design, software, machine learning, and AI as the problem requires. Strongest where the market is moving and the product is still taking shape.
Education & training
Cal Poly San Luis Obispo — B.S. in Liberal Arts & Engineering Studies, Cum Laude.
MIT Applied Data Science Program · Stanford / Andrew Ng supervised machine-learning coursework.
Google UX Design Certificate — user research, interaction design, and prototyping.
Skills
Full-stack: Next.js, React, TypeScript, Tailwind, Node, FastAPI, Python, REST APIs, PostgreSQL/Supabase, DuckDB, auth, schema design, scheduled data pipelines, Vercel, Docker, GitHub Actions.
AI/data: LLM workflows, Claude Code/Cursor/Hermes, tool-calling loops, OpenRouter/model routing, RAG patterns, persistent context, Pandas, NumPy, scikit-learn, XGBoost, feature engineering, backtests, evaluation loops.
Product: MVP scoping, user interviews, workflow mapping, dashboards, data visualization, ROI modeling, product analytics, technical translation.
Domain: Financial markets & crypto, solar/energy economics, property analytics, sovereign finance, market timing & risk frameworks.
Experience
- Bitcoin ML — Built a public quant research site around Bitcoin price drivers: Python data pipelines, feature tests, walk-forward backtests, reproducible dashboards.
- Energy Scout — Built a consumer solar calculator combining production assumptions, incentives, quote data, and ROI into a personalized report for homeowners evaluating solar.
- Agentic workflows — Designed and operate a coordinated AI development/workflow system with Claude Code, Hermes-style agents, model routing, persistent context, scheduled jobs, Telegram, and voice summaries.
- Self-directed equity & crypto research and trading — the direct source of the market, energy, and sovereign-finance domain fluency behind the products I ship.
- Ran hands-on sustainability systems (aquaponics) — reinforced the physical-systems and product instincts I bring to software.
- Studied public markets, solar/energy infrastructure, Bitcoin, and macro systems to understand how capital, operations, and technology interact.
- Analyzed multi-source datasets (utility rates, incentives, consumption patterns) to identify underserved market segments in California multifamily solar and agricultural sectors.
- Built ROI projection models and presented data-driven recommendations to stakeholders, directly informing go-to-market strategy for community-solar models.
Selected ML work
Hull Tactical Kaggle competition: feature engineering, Random Forest/XGBoost modeling, and walk-forward validation against market data.
Tesla regime prediction: XGBoost-based regime classification and evaluation for a market-research workflow.
Selected work
Hermes / personal agent system: applied AI workflows with scoped agents, memory, tools, project context, Telegram, scheduled automations, and voice summaries.
Energy Scout: solar ROI and incentive decision support.
Real Estate Lead Engine: Verified listing → creative → Meta ads → capture → CRM → follow-up → signed lease, measured end to end.
Bitcoin ML: supervised ML and quant research across macro, price, and on-chain data.
Used-car ML pricing model (MIT ADSP capstone) and Hull Tactical Kaggle competition: feature engineering, Random Forest/XGBoost, walk-forward validation of market "micro alpha."