Scott Nelson

About Me

Scott Nelson

Hello! I'm Scott, a passionate AI enthusiast with a keen interest in philosophy and technology. I aim to shape the future by making current events more accessible, fostering civic awareness, and promoting democratic discussions.

My expertise lies in natural language processing, machine learning, and prompt engineering. I'm continuously exploring new frontiers in AI to augment human potential and drive innovation.

Projects

☀️ Solar Viability Analysis

Address-to-financial-analysis for California rooftop solar — a 2.6M-row DuckDB warehouse, a 25-year cashflow model, and live NREL PVWatts + utility-rate detection across PG&E, SCE, SDG&E, and municipal utilities. Built for DATA 201 at Cal Poly Humboldt.

Project Overview

OLTP/OLAP warehouse, a FastAPI quote engine, and a 0–100 viability score blending LCOE, payback, NPV, solar resource, and local market maturity.

City Reports

Deep-dive reports for the 15 largest CA cities plus Stanford & Berkeley — 25-year cashflows, payback curves, and utility-specific NEM 3.0 economics.

ZIP Heatmaps

Interactive viability maps across all 2,593 California ZIP codes, with confidence tiers drawn from real Berkeley Lab installation data.


AI & Machine Learning

Multi-Armed Bandit Agents
Multi-Armed Bandit Agents

Exploring reinforcement learning through the classic multi-armed bandit problem.

The Speedy, Q-learning Crawler
The Speedy, Q-learning Crawler

A year of RL tuning reached only 42% of optimal — then a 2002 model-based algorithm (R-MAX) closed the gap to 100%.

NER with Viterbi HMM
NER with Viterbi HMM

Using Hidden Markov Models for natural language entity recognition.

Knowledge Source Scrapers

Three complementary Python scrapers forming the raw-sources layer of an LLM knowledge pipeline for cognitive science.

Wikipedia Scraper

Bounded BFS crawl with canonical page keys, SQLite graph store, and a 6-point soup validator. 834 outlinks from a single seed article.

SEP Scraper

Stanford Encyclopedia of Philosophy: peer-reviewed concept backbone with hand-curated cross-references and a built-in query layer.

arXiv Scraper

Atom API metadata ingest with category-driven queries, PDF download, and text extraction across 35 CS subcategories.

Resume

Click the link below to view my resume.

Contact

Feel free to reach out via email or connect with me on social media.