Summary
Sofiane Djeffal is a Lead Machine Learning Engineer in the San Francisco Bay Area with 12 years of experience building contextual, personalized AI systems that span sensors, multimodal models, and on-device deployment. He has led ML initiatives at Apple and Meta, driving multimodal assistants and media enhancement for AR/VR wearables like Ray-Ban Meta Smart Glasses, and previously improved global edge performance for Microsoft Azure and Office 365. His background blends low-level systems and embedded engineering with scalable cloud and ML architectures, enabling him to optimize latency-sensitive, privacy-preserving on-device ML. Trained at Boston University and MIT in computer and engineering management, he brings both deep technical breadth—from C/C++ and Python to distributed protocols—and a product-minded focus for shipping user-facing AI features. Notably, he moves seamlessly between research-grade multimodal AI and pragmatic systems engineering, making complex sensor-to-model pipelines work in real-world devices.
12 years of coding experience
16 years of employment as a software developer
Master of Science - MS Engineering + Management, Master of Science - MS Engineering + Management at Massachusetts Institute of Technology
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Boston University
English, French, Arabic