Hamed S. Neshat

About Hamed S. Neshat

AI/ML leader with 17+ years of experience driving innovation across machine learning, infrastructure, and monetization systems. At Meta, I currently lead high-impact cross-functional teams focused on AI measurement, experimentation, and ML modeling—powering key business decisions across Facebook and Instagram.Previously at Meta and Microsoft, I led organizations of over 50 engineers, research scientists, and managers—delivering 0→1 platforms, scaling AI infrastructure, and aligning org-wide goals across CoreML, data systems, and storage. I bring a unique blend of hands-on technical expertise and strategic leadership—comfortable diving deep into model performance or system design, while also aligning roadmaps, mentoring teams, and executing on org-wide goals. Passionate about mentoring talent, fostering collaboration, and turning complex AI systems into real-world business value.

Experience

1. Director of Data Science

   Meta

   Jan 2017 — Present · Bellevue, WA, US

   Director of Data Science (Jan 2026 – Present)Partnering with cross-functional executive leadership to drive business-critical AI initiatives, optimize monetization pipelines, and scale next-generation machine learning and measurement tooling to measure incremental and long term value of our Ads and AI systemsSenior Manager, AI/ML Measurement & Modeling (Aug 2023 – Jan 2026)Directed cross-functional organizations to architect methodologies for running experiments, measuring, and monitoring monetization products. Set the strategic roadmap AI/ML measurement across next-generation AI/ML technologies and prepared the organizational structure for subsequent director-level oversight.Senior Manager of Research Data Science (Jan 2021 – Aug 2023)Led an org of 50+ scientists and engineers across CoreML, AI Infra, and Data Systems. Directed the 0→1 incubation and scaling of platforms for ML optimization, experimentation, and capacity planning. Built the multi-year strategy and scaled leadership teams.Manager, Research Data Science (Jan 2019 – Jan 2021)Built and scaled high-impact data science teams, driving measurable improvements across Meta\'s infrastructure.Applied Scientist (Jan 2017 – Jan 2019)Drove strategic application of ML across infrastructure domains. Built and deployed ML models that improved infrastructure efficiency by 5%, reducing latency and scaling system reliability.

Education

• The University of British Columbia

  PhD Candidate, Electrical and Computer Engineering

• Simon Fraser University

  MSc, Computer Science

• Sharif University of Technology

  BS, Computer Engineering

Skills

• Sql Server
• Parallel Programming
• Software Engineering
• High Performance Computing
• Image Processing
• Css
• Programming
• Linux
• Network Programming
• Data Analysis
• C#
• Matlab
• Visual Studio
• C++
• Tortoise Svn
• Microsoft Sql Server
• Windows
• Eclipse
• Online Advertising
• Javascript
• Uml
• Software Development
• Python
• Php
• Latex
• Java
• Subversion
• Mysql
• Distributed Systems
• Report Writing