Georges Loutfi

Background

About Georges Loutfi

I’m a software engineer with 4+ years of experience in large-scale, consumer-facing software. My expertise spans algorithmic development, distributed computing, and cloud deployments, with a passion for debugging and performance optimization. Proficient in PyTorch, TensorFlow, and containerized environments like Docker, I thrive on turning advanced data-driven models into production-ready solutions. I’m currently working on TeamSphere, a Python/Flask-powered sports management platform leveraging AWS and hybrid databases (PostgreSQL + DynamoDB) for scalability. It features automated team-generation algorithms approximating NP-hard fairness optimization, with plans to integrate GNN-based synergy scoring for enhanced team chemistry. At AMD, I developed C++ drivers for AMD’s neural accelerator (NPU) to support advanced ML workloads, and led the development of NPUCheck, a debugging and chip health monitoring tool. By modernizing the driver architecture and collaborating with cross-functional teams, I streamlined regression cycles, improved code health, and ensured robust performance across emulated environments. I’ve just completed my Master of Engineering in Computer Engineering (Data Analytics & ML focus) at the University of Toronto. Going forward, I’m eager to continue driving innovation in Python-centric roles, using my background in applied AI and scalable cloud architectures to make a meaningful impact.