David Daichman

About David Daichman

AI/ML-driven engineering leader with 9+ years of experience in semiconductor manufacturing and smart factory transformation. I specialize in developing and deploying machine learning models that optimize equipment performance, reduce downtime, and improve yield across global FABs.With a background in materials engineering and an MBA in high-tech management, I bring a unique blend of technical depth and strategic insight. I thrive at the intersection of data science, process engineering, and business innovation — leading cross-functional teams to deliver scalable, high-impact solutions.Core strengths:Predictive maintenance & anomaly detectionAI/ML model deployment in production environmentsCross-functional collaboration across global teamsReal-time analytics & dashboard developmentAI strategy for smart manufacturingCurrently driving AI initiatives at Intel to shape the future of intelligent manufacturing.

Experience

1. Equipment Productivity Engineer (Ai Ml Focus)

   Intel

   May 2025 — Present · Portland, OR, US

   Lead development and deployment of ML models to predict equipment downtime and improve FAB reliability.Collaborate with global teams to enhance yield, availability, and throughput using data-driven strategies.Design real-time dashboards and apply statistical modeling for fault isolation and root cause analysis.Drive global AI adoption across manufacturing operations.

Education

• Ben-Gurion University of the Negev

  Bachelor of Science (BSc), Materials Engineering

  2011 — 2015

• Ben-Gurion University of the Negev

  Master of Business Administration - MBA, High-Tech Business Administration

  2019 — 2021

Skills

• Ceramic Materials
• Sintering
• Materials Science
• Customer Service
• Process Improvement
• Microsoft Office
• Public Speaking
• Research
• Process Engineering
• Management
• Powerpoint
• Microsoft Excel
• Microsoft Word
• Glass
• Project Management
• Solidworks
• Characterization
• Leadership
• Analysis