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PThrower/README.md

Parnell Thrower III

AI Agent Builder · Full-Stack Developer · Data Science Student

Building at the intersection of LLM systems, production infrastructure, and real-world automation

LinkedIn Email Strata


What I'm building

Strata — Security and observability for the MCP (Model Context Protocol) ecosystem. The infrastructure that connects AI agents to real-world tools needs monitoring — Strata is the layer that watches it. Behavioral anomaly detection, injection risk classification, real-time threat feeds, and circuit-breaker infrastructure. Built solo: Next.js, TypeScript, Supabase, PostgreSQL, Vercel.

AI-Mart — Agent-first marketplace on the Model Context Protocol. AI tools plug directly into an agentic backend. Structured capability verification, two-stage manifest validation, double-entry ledger for transaction integrity. Used Claude Opus 4.6 and Gemini 2.5 as active engineering partners throughout.

Sasha AI — Voice-activated LLM assistant with smart home orchestration and natural language command routing. A year of independent development. Where I learned how agents fail in practice and how to engineer around it.


Stack

Python TypeScript JavaScript SQL Swift C++

Next.js React Node.js Tailwind CSS

Supabase PostgreSQL Vercel

Claude OpenAI pandas NumPy


Certifications

Certification Issuer Date
Claude with the Anthropic API Anthropic May 2026
Agent Skills Anthropic Apr 2026
Model Context Protocol Anthropic Apr 2026
Claude Code Anthropic Apr 2026
Funded Trader Topstep 2026

GitHub Stats

Parnell's GitHub Stats

Top Languages


Background

Data science student at Ohlone College (transfer track → Stanford / MIT / Cornell / UC Berkeley). Previously interned at Lawrence Livermore National Laboratory, where I shipped a full-stack iOS data pipeline in 10 weeks. Black Student Union President. IEEE.

I use Claude Code as a primary development tool every day — not as autocomplete, as an engineering partner.


Building in the SF Bay Area · Open to internships and collaborations

Popular repositories Loading

  1. rag-mvp rag-mvp Public

  2. rag-fastapi-template rag-fastapi-template Public

  3. Computing-Point-in-Time-Residual-Returns Computing-Point-in-Time-Residual-Returns Public

    Built a Python pipeline to compute beta-adjusted residual returns for FAANG stocks (META, AAPL, AMZN, NFLX, GOOGL) using QQQ as the market benchmark — designed to be point-in-time correct and suita…

    Python

  4. UnconBacktest_TS-Momentum-in-Cryptocurrencies UnconBacktest_TS-Momentum-in-Cryptocurrencies Public

    Backtesting a time-series momentum strategy across major cryptocurrencies (BTC, ETH, ADA, BNB) using z-score signals, tanh-clipped weights, and Sharpe ratio analysis.

    Python

  5. Square-Root-Rule-Substack Square-Root-Rule-Substack Public

    Interactive examples for the Square Root Rule Substack post.

    HTML

  6. crypto-start-arb crypto-start-arb Public

    Cryptocurrency statistical arbitrage strategy combining Time-Series Momentum and Cross-Sectional Reversal across 15 coins — 2.10 Sharpe, -5.07% max drawdown, 0.011 beta vs BTC.

    Python