Senior Staff Engineer and Physics PhD specializing in developer platform architecture, complex simulation automation pipelines, and agentic AI workflow integration. I bridge the gap between high-performance computing, enterprise infrastructure, and modern AI tooling. Proven track record scaling developer productivity across 7,000+ person organizations, architecting distributed systems, and translating cutting-edge ML into production value.

• Languages & Core Systems: Python (NumPy, pandas, polars), TCL, MATLAB, Shell Scripting, Linux/Unix internals
• AI Architecture & Workflows: GitHub Copilot deployment, Agentic workflow tooling (skill.md, agent.md), Applied ML optimization pipelines, LLM prompt orchestration
• Developer Infrastructure: FastAPI, Streamlit, Plotly, CI/CD pipelines, Git, GitHub Enterprise, Perforce version control, VS Code extension tooling
• Systemic Methodologies: Distributed system modeling, Numerical methods, Cross-functional RFC design patterns, Multi-tenant software integration

Senior Staff Applications Engineer (May 2026 – Present)
Staff Applications Engineer / Applications Engineer II (June 2023 – May 2026)

• Distributed Architecture: Architected and developed distributed computational simulation software pipelines, decoupling highly complex data transformation tools across multi-tenant production environments; designed efficient serialization and fault-recovery systems supporting 1000s of concurrent jobs.
• AI Platforms & Tooling Strategy: Served as a developer platform champion for AI and Copilot integration across a 7,000-person business unit; demonstrated systemic best practices, evaluated vendor platforms, and published technical governance guidelines.
• Agentic Framework Design: Formulated and deployed production-grade agentic interface specifications, writing cross-platform automation tooling (skill.md, agent.md) that systematically accelerates task execution and reduces errors in complex workflows.
• Applied Machine Learning Pipelines: Developed client-facing ML integration and data-cleaning architectures; automated statistical outlier detection systems and customized ML-based pipeline templates for enterprise customers.
• Technical Governance & Alignment: Drove organizational technical alignment between enterprise clients, core R&D, and Product Management; translated large-scale engineering roadblocks into defined, executable technical initiatives.

Professor of Physics & Research Lab Director (2008 – 2023)

• Strategic Resource Allocation: Principal Investigator who successfully secured and allocated over $500,000 in federal National Science Foundation (NSF) infrastructure grants to deploy advanced optics and computational facilities.
• Engineering Leadership & Governance: Elected to institutional governance assignments including Faculty Chair and Chair of the American Physical Society Northwest Section, setting organizational strategy and budget priorities.
• Scientific Computing Systems: Designed and managed computational pipelines for high-performance optics and atomic physics instrumentation modeling, transforming physical problems into clean, scalable simulation frameworks.
• Technical Mentorship & Scale: Published 21 peer-reviewed core research papers while delivering over 5,000 hours of technical training, mentoring, and systemic knowledge dissemination to students and researchers.

• Ph.D. in Physics – Duke University
• B.A. in Physics – Whitman College
• Publications: 75+ Peer-reviewed scientific publications and international proceedings (including Science, Physical Review Letters, and SPIE) focused on structural complex problem-solving, photonics, and experimental methodology.

• Mountaineering: Mission planning, training, rigorous risk/reward analysis, and high-consequence decision-making under environmental pressure.