Willie Wheeler

About Willie Wheeler

Hands-on Principal Software Engineer with deep experience using data science and automation to improve development and operations at scale. I’ve led initiatives that reduced deployment times, improved system reliability, and uncovered key insights with data. I aim to transition into a machine learning role where I can apply my engineering background, statistical knowledge, and practical ML experience to solve impactful problems.

Experience

1. Principal Software Engineer

   Microsoft

   Jul 2020 — Present · Redmond, WA, US

   Led automated performance regression detection and diagnostics for SharePoint. The detection pipeline provided \"hands-free\" monitoring, using data science methods to limit false positives and capture subtle changes. The diagnostic framework helped reduce MTTR from 20 days to 3 days.Methods: change point analysis, MSTL, IQR anomaly detection, SPC (e.g, EWMA), linear regression, k-means clusteringFrameworks/tools: Python, R, pandas, numpy, ruptures, scipy, statsmodels, matplotlib, Grafana, CLIPS

Education

• Carnegie Mellon University

  MHCI, Human-Computer Interaction

  1999 — 2001

• Humboldt State University

  BA, Mathematics, Philosophy

  1992 — 1996

• UC San Diego

  PhD program (transferred without degree), Philosophy

  1996 — 1999