Azeruddin

About Azeruddin

Companies don\'t fail at AI because they lack engineers—they fail because they lack strategy.At Amazon, I\'ve spent 16 years building the operational infrastructure that eliminates manual work at scale: hundreds of roles automated, 2M+ requests/hour at 99.99% uptime, efficiency gains exceeding basis points. Estimated value delivered:$20M-30M in cumulative labor and compute savings, an 8-10x return on investment.What I\'ve learned: the difference between AI that delivers ROI and AI that burns budget comes down to three things: knowing what NOT to build, architecting for reliability before scale, and bridging the gap between executive vision and engineering reality.Core focus: Operational efficiency, labor cost reduction, LLM integration, and automated decision systems.Background: 16 years at Amazon across operations, product, program management, and AI/ML architecture. Led teams of 20+ researchers and engineers. MS in AI & ML.Open to conversations with PE operating teams exploring AI/Automation-driven value creation in their portfolios.

Experience

1. Sr Business Research Scientist

   Amazon

   Dec 2024 — Present

   Develop AI and LLM strategy for Amazon, optimizing model inference and ensuring service SLA adherence.• Spearhead deployment and cloud strategy, enhancing efficiency and scalability of ML models.• Actively participate in ML conferences, showcasing expertise and staying updated on industry trends.

Education

• International Institute of Information Technology Bangalore

  Postgraduate Degree, Artificial Intelligence

• Udacity

  Nanodegree, Natural Language Processing

  2019 — 2020

• Loyola College, Chennai

  Bachelor of Science (BSc), Physics

  2005 — 2008

• Liverpool John Moores University

  Master's degree, ML & AI

Skills

• Sql
• Vba Macro Programming
• German
• Python
• Vba
• C#
• Unity3d
• Team Management
• Training
• C and C++
• Project Management
• Root Cause Analysis
• Root Cause Problem Solving
• Product Management