{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/master/schema.json",
  "basics": {
    "name": "Parker Patton",
    "label": "AI Safety Researcher and B.S. Mathematics Student",
    "email": "jppatton@crimson.ua.edu",
    "phone": "574-371-6442",
    "url": "https://parker.ml",
    "location": { "city": "Tuscaloosa", "region": "Alabama", "countryCode": "US" },
    "profiles": [
      { "network": "GitHub", "username": "catears124", "url": "https://github.com/catears124" },
      { "network": "LinkedIn", "username": "jparkerpatton", "url": "https://www.linkedin.com/in/jparkerpatton" }
    ]
  },
  "education": [
    {
      "institution": "The University of Alabama",
      "area": "Mathematics",
      "studyType": "Bachelor of Science",
      "minor": "Computer Science",
      "startDate": "2025-08",
      "endDate": "2028-05",
      "courses": ["Data Structures & Algorithms", "Software Engineering", "Calculus III", "Differential Equations"]
    }
  ],
  "work": [
    {
      "name": "The University of Alabama",
      "position": "AI Safety Lab Researcher",
      "location": "Tuscaloosa, AL",
      "startDate": "2026-09",
      "highlights": [
        "Ran a 24-shard, 2,400-clip GPU campaign with 94.5% adversarial attack success at 27–30 dB PSNR.",
        "Found 47.3× above-chance task-gradient concentration; 90.7% attack success persisted outside dominant decoder modes across 300 Kinetics-400 clips."
      ]
    },
    {
      "name": "Algoverse AI Research",
      "position": "LLM Interpretability Research",
      "location": "Remote",
      "startDate": "2026-05",
      "endDate": "2026-09",
      "highlights": [
        "Designed a content-matched 2×2 factorial experiment with over 11,520 matched prompts and three Llama checkpoints.",
        "Identified a prompt-format confound: naive probe AUC 0.600–0.682 versus format-controlled AUC 0.989–0.998; unseen-format AUC 0.940–0.985."
      ]
    },
    {
      "name": "The University of Alabama at Birmingham",
      "position": "Financial ML Researcher",
      "location": "Birmingham, AL",
      "startDate": "2024-06",
      "endDate": "2025-05",
      "highlights": [
        "Built a diffusion-empirical next-day return model across five assets and 45 walk-forward folds.",
        "Raised volatility R² from 0.179 to 0.197 and reduced CRPS by 0.30% versus EWMA across 14,175 out-of-sample forecasts.",
        "Presented at ASFA Symposium; awarded Honorable Mention in CARSEF Math & CS."
      ]
    }
  ],
  "projects": [
    {
      "name": "tablet.ears.cat",
      "startDate": "2026-09",
      "url": "https://tablet.ears.cat",
      "description": "Custom Gaomon S620 firmware and browser-based calibration and firmware installer using Python, TypeScript, C, and ARM firmware.",
      "highlights": ["Over 7,000 web-installer users", "Polling increased from 266 Hz to 1,000 Hz", "Over 15 ms of input latency eliminated"]
    },
    {
      "name": "NullMap (HackMIT 2026)",
      "startDate": "2026-09",
      "url": "https://plume.hackmit.org/project/cuqqq-zpzje-qzyls-tmbjd",
      "description": "Research search and retrieval system using Python, FastAPI, Elasticsearch, and React.",
      "highlights": ["Indexed over 2.1 million studies", "Reached 19 seconds and $0.021 per query with an 88% cost reduction", "Second place in Elastic's Find the Signal sponsor challenge"]
    },
    {
      "name": "osu!rankguess",
      "startDate": "2026-03",
      "endDate": "2026-08",
      "url": "https://github.com/catears124/osu-rankguess",
      "description": "Multimodal gameplay inference platform using Python, PyTorch, FastAPI, ONNX, and PostgreSQL.",
      "highlights": ["3,000 gameplay videos and replay files", "0.846 R²", "1.84% MAE"]
    },
    {
      "name": "Independent Smart-Contract Security Research",
      "startDate": "2026-06",
      "highlights": ["Responsibly disclosed two settlement vulnerabilities in live options contracts.", "Found 38 post-expiry settlements across 800 live transactions and reproduced both flaws on a mainnet fork."]
    }
  ],
  "skills": [
    { "name": "Languages", "keywords": ["Python", "C/C++", "TypeScript", "SQL", "Solidity"] },
    { "name": "ML & Data", "keywords": ["PyTorch", "scikit-learn", "NumPy", "pandas", "CatBoost", "ONNX"] },
    { "name": "Backend & Web", "keywords": ["FastAPI", "PostgreSQL", "Elasticsearch", "Next.js", "React"] },
    { "name": "Tools & Platforms", "keywords": ["Git", "Linux", "Docker", "Slurm", "Vercel", "GCP", "AWS", "GitHub Actions"] }
  ]
}