Summary
Elias Tragas is a research-oriented software engineer with 10 years of experience building ML-driven systems across recommendations, autonomous robots, and large-scale ML infrastructure. He has shipped production ML and recommendation features at companies from Snapchat and Fathom to Google and Cruise, and currently contributes as a Member of Technical Staff in the San Francisco Bay Area. His work spans model innovation (long-context transformers, mixed precision), high-performance inference in C++, and scaling training pipelines with Spark and TensorFlow. Notably, he designed constant-time inference recommendation architectures in academic research and implemented transformer variants supporting sequence lengths an order of magnitude larger than typical checkpoints. Elias blends strong research intuition with pragmatic engineering, making experimental model ideas operational at scale.
10 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Double Major: Computer Science (A.I Specialist) & Cognitive Science Math Minor, Bachelor’s Degree Double Major: Computer Science (A.I Specialist) & Cognitive Science Math Minor at University of Toronto
Greek, English, Greek, Latin