Danny Wyatt

About Danny Wyatt

Lead Engineer experienced in creating bridges between research and product, leading applied machine learning teams, and communicating technical concepts to extremely varied audiences.Demonstrated experience with - Balancing trade-offs between research ideals, product goals, and infrastructure constraints to deliver functional, pioneering, and scalable systems- Data-driven prioritization and project creation to hit (and exceed) KPIs - Creating successful collaborations across organizations, sites, and functions- Establishing team missions, strategy, and roadmaps. Successfully executing those- Navigating teams through re-organizations- Growing junior engineers into senior roles, and senior engineers into staff/lead roles. Growing tech leads.

Experience

1. Member of Technical Staff, Microsoft Superintelligence

   Microsoft AI

   May 2025 — Present · New York, NY, US

   Multiple roles in post-training and evaluation- Autorater development: prompted and fine-tuned, platforms for it, agents that do it, RMs that - Evaluation strategy: model gap identification, problem definition, data collection, eval-the-evals - Actionable insights: why the numbers changed and what to do about it - Evaluation platforms: for pre, mid, and post-training

Education

• Columbia University

  Bachelor of Arts - BA

  1994 — 1998

• University of Washington

  Master of Science - MS, Computer Science

  2003 — 2005

• University of Washington

  Doctor of Philosophy - PhD, Computer Science and Engineering

  2005 — 2010

Skills

• Distributed Systems
• Computer Science
• Software Engineering
• C
• Research
• C++
• Project Management
• Data Mining
• Algorithms
• Software Development
• Machine Learning