Mahmoud Fahmy is the Lead AI Engineer at Mastercard, specializing in machine learning deployment and scalable solutions for seamless LLM integration into enterprise environments. With a strong focus on reliability and efficiency, he has authored several influential publications, including:
- Optimizing the Giants: Navigating Technical Challenges and Debt in LLM Deployment
- Deep Learning Pipelines with TensorFlow
His ongoing research explores the complexities of deploying LLMs on-premises, offering technical strategies and governance frameworks tailored for enterprise adoption. Additionally, he is actively researching Agentic AI, focusing on autonomous decision-making systems and their implications for enterprise AI applications.
As a recognized thought leader, Mahmoud bridges the gap between cutting-edge AI research and real-world engineering, helping organizations harness the transformative power of LLMs responsibly and effectively.
Upcoming Talks
20 May 2025
Scaling LLMs for real-world applications demands more than just cutting-edge algorithms, it requires overcoming intricate engineering challenges.
From optimizing colossal architectures and streamlining inference workflows to maintaining performance under heavy workloads, this talk delves into actionable solutions.
Attendees will discover field-tested strategies, key lessons, and best practices to successfully integrate LLMs into production environments, enabling seamless scalability and reliability in diverse operational contexts.