Summary
Waleed Ali is a Software Architect and Technical Lead with 10 years of experience building cloud-native, event-driven microservices and AI-driven systems for automotive ADAS. He blends deep learning research—published at ECCV and NeurIPS workshops on 3D LiDAR detection and semantic segmentation—with practical deployment of models to embedded ECUs and scalable GCP-based platforms using Firestore and Redis. At Valeo he progressed from ML engineer to technical lead, driving migrations from on-prem to cloud, standardizing CI/CD, and improving developer experience across distributed microfrontends. Proficient in C/C++, Python, TensorFlow, and PyTorch, he also co-authored a patent on sensor systems, highlighting a strong product- and safety-oriented mindset. Colocated in Giza, Egypt, he pairs research rigor with hands-on architecture work, often focusing on optimizing system security and UX in production AI systems.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Ain Shams University
English, Arabic