Engineering Bio

My career has moved through three distinct chapters: embedded wireless systems, machine learning modeling and infrastructure, and now accelerated computing. I started in real-time wireless integrating GPS and cellular baseband protocols for Smartphone application at Palm and then Apple, where I also built an internal Knowledge Discovery Framework to bring ML tooling to the wireless engineering group.

From there I moved up the stack into cloud-based ML platforms, first at Postmates (fraud detection models, ML productionization tooling) and then at C3 AI, where I co-designed the C3 Dataset product — a unified interface for heterogeneous data execution engines. Today I'm focusing on the next layer of that evolution: GPU-accelerated query engines and the AI agents that will drive them.

I hold an Engineering diploma in Telecommunication and Networks from ESIB/USJ in Beirut, a Master's in Electrical Engineering from Cornell University, and have pursued continuing graduate studies in Software Systems, AI/ML, and Entrepreneurship at Stanford University since 2011.

2020 - 2023

At C3 AI, I Helped architect and bring to life the C3 Dataset product, a solution that integrates different data execution engines into a single front-end user interface to enable smoother transitions from ML exploration to productionization.

Postmates

2017 - 2020

Initiated the development of neural network modeling approaches for fraud detection and re-designed the cloud-based toolset for exploration and productionization of machine learning models.

Apple

2009 - 2017

Led the baseband processor integration of GPS and wireless cellular protocols for iPhone and iPad. Also led the development of the Knowledge Discovery Framework to accelerate the adoption of Machine Learning for the wireless technology group.