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Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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WillLewis/README.md

Will Lewis

AI/ML Product Manager — agentic systems, evals, and ML decisioning in regulated environments.

Agents propose, code decides. Models are good at compressing the messy middle of a workflow. The harness — policy layer, held-out evals, deterministic gates — is what makes them shippable. 🚀

Each pin below is the same thesis tested in a different domain: the eval surface is the product

Live demos and full case studies: wxl3.com

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  1. atlas-agentic-fraud-lab atlas-agentic-fraud-lab Public

    Adversarial Testing Lab for Agentic Safeguards (ATLAS). A synthetic multi-agent eval environment for adversarial fraud decisioning inspired by Anthropic's Project Deal. Measures how model quality, …

    Python 1

  2. agent-harness-environment agent-harness-environment Public

    An eval and observability cockpit for coding agents. It runs policy-controlled coding agents in sandboxed toy repos, tool-use traces, MCP tools, compares harness policies, scores recovery and safet…

    Python

  3. regulated-agent-launch-kit regulated-agent-launch-kit Public

    A regulated-agent deployment kit for turning traces, evals, regressions, and approval gates into launch/no-launch decisions

    Python

  4. voice-agent-prompt-lab voice-agent-prompt-lab Public

    A voice agent demo and prompt evaluation harness for insurance first notice of loss claims

    TypeScript

  5. coachbench coachbench Public

    A football adversarial-agent arena for short red-zone strategy contests. Offensive and defensive coordinator agents compete through simultaneous legal play calls, scarce tactical resources, partial…

    Python 1

  6. google-advanced-data-analytics google-advanced-data-analytics Public

    Jupyter notebooks of statistics, EDA, Python, regression, and machine learning project work done on sample TikTok and Waze data

    Jupyter Notebook