Sayed Abdelaziz

About Sayed Abdelaziz

Engineering leader building AI/ML platforms, evaluation systems, and developer-facing APIs/SDKs at scale (Meta, ex-Microsoft).I’ve led teams shipping platforms at 5PB/day, 500PB+ storage, 100M API calls/day, and experimentation systems supporting 100+ teams.I specialize in building platforms across training, serving and turning complex ML/AI and measurement workflows into self-service paved paths: training/tuning/serving, experimentation, evaluation, and the operational foundations (SLOs, observability, automation, cost).I build and grow teams that deliver predictable outcomes in high-ambiguity environments.My leadership style is people‑first and customer‑centric, upholding developer velocity, time‑to‑value, tight feedback loops, and the scalability of products and platforms for teams moving 0->1->10 to deliver durable outcomes for global enterprises.Inventor of 8 patents, underscoring a sustained commitment to innovation. I foster collaboration and a culture of curiosity, steering high‑performing teams to consistent, measurable impact.

Experience

1. Engineering Leader

   Meta

   Feb 2024 — Present · US

   Support org of talented engineers and leads, fostering a collaborative and innovative work environment. ensuring every team member has a plan for their growth- Strategic Planning & Roadmap Development - Led the Development and execution the of the team strategy setting the vision for long-term innovation in data processing and incident detection, aligning with company goals to enhance system reliability and reduce operational overhead- Every half, I lead the team roadmap aligning with the team long term strategy and aligning with the cross-function teams to ensure max impact can be delivered by the organization- Directed the design and implementation of a large-scale data platform responsible for early detection of code and data incidents before they reach production systems, processing 5PB of data daily- Implemented ML solution that learn the data pattern and help create data expectations between different components in the Ad system- The system prevented 20% of the incidents and reduced (non-prevented) incidents detection time by 40%- Led the design and implementation of AI Infrastructure and experimentation platforms that enables organizations to run AL experiments to quantify their product impact and enhance ads delivery- The automation empowered running of 100+ of experiments every day.

Education

• Cairo University

  Bachelor of Engineering (B.E.), Communication and Electronics

  2002 — 2006

• The University of Arizona Global Campus

  Master of Business Administration - MBA, Business Administration and Management, General