Operations Executive | VP / Director of Operations | Revenue Operations | Healthcare Operations | Strategy & Operations | M&A Integration | Process Improvement | AI Transformation

Burbank, CA · Open to remote US or Los Angeles roles, and willing to relocate for the right executive role. rossleeshaw.com · LinkedIn

I improve how organizations run. I have 20 years in healthcare and medical group operations, plus work in retail and AI/tech services, turning messy processes into clear, measurable operating systems.

• Led the M&A integration of 120 employees across 7 departments.
• Built the KPI framework at Regal Medical Group that brought 7+ merged companies onto one operating framework.
• Started in Medicare collections at Nationwide Medical and drove revenue recovery.
• Founder of Adepoco, building AI-governance and analytics products. This GitHub is where I build the tools behind my AI transformation work.

Education: M.S. in Project Management, University of Southern California (expected Dec 2026); B.A. in Economics and Finance, Cal State LA.

Operations problem: teams adopting AI need a control that flags when an answer sounds more certain than its reasoning supports. Open TypeScript SDK + hosted API that scores whether an AI response's confidence is backed by its reasoning. It does not fact-check. A high score means confidence matches justification, not that the claim is true.

• @clearrun/* packages on npm at 0.1.0 · Hosted API: https://api.clearrun.net
• Open source: Adepoco/ClearRun · Release v0.1.0

Operations problem: AI coding agents ship faster but fail faster. BlastLoop gives agent work a repeatable process with clear ownership and quality gates. Blast / Mid / Inner programs write at their own altitude, then T1 structural, T2 bug/ops and T3 adversarial tests run in order.

• Repo: https://github.com/rlshaw-ml/BlastLoop
• Write-up: WORLDWRIGHT Issue 3

Operations problem: job searching is a high-volume intake, triage and response workflow. This automates it end to end on your own machine. Python pipeline that pulls job postings from Indeed RSS, scores each one 0 to 100 against a configurable profile using a local LLM, and drafts cover letters for top matches in your own writing voice. Runs fully locally.

• Repo: https://github.com/rlshaw-ml/sovereign-job-hunter

• RangeSight: Monte Carlo risk engine that models survival probability and risk of ruin before capital is deployed (Flutter, Python).
• Fly AI Tab Grouper: Chrome extension that uses AI classification to organize browser tabs and research sessions (Node.js, Express, MongoDB, LLM APIs).
• ResolveNow: experimental decision-support system for structured decisions under uncertainty.

• Founder, Adepoco: AI-governance and analytics products (ClearRun, WORLDWRIGHT newsletter).
• Process Improvement, Reporting and Analytics Manager, Regal Medical Group: KPI framework across 7+ merged companies; executive reporting and workflow automation.
• Chief Operations Officer, Home Medical Supplies: ERP rollout, process redesign and cost reduction.
• Nationwide Medical, Inc.: Medicare collections to Senior Project Manager and Regulatory Compliance Manager; M&A integration of 120 employees across 7 departments.

Python · TypeScript · JavaScript · SQL · Node.js · Flutter · REST APIs · LLM tooling · Statistical modeling · Monte Carlo simulation

• Website: https://rossleeshaw.com
• LinkedIn: https://www.linkedin.com/in/rosslshaw/
• WORLDWRIGHT newsletter: https://worldwright.beehiiv.com
• ClearRun (npm): https://www.npmjs.com/package/@clearrun/sdk
• ClearRun (GitHub): https://github.com/Adepoco/ClearRun
• BlastLoop: https://github.com/rlshaw-ml/BlastLoop
• Kaggle: https://www.kaggle.com/rosslshaw
• Hugging Face: https://huggingface.co/RLShaw-ML
• Discord: https://discord.com/users/1439821254940164166