sax
Summary
👤
SeniorAlexander Sax is a research-driven Member of Technical Staff focusing on large-scale multimodal world models for embodied AI, with 14 years of experience spanning academia and industry. He builds models that perceive, reason about, and act in physical environments, bringing spatial reasoning and memory to robots, smart glasses, and AR/VR platforms. His work bridges end-to-end training and data-generation pipelines—scalable pretraining and post-training techniques that transfer across manipulation and navigation tasks. Alexander’s research has earned top honors including a CVPR Best Paper, CVPR honorable mention, an NVIDIA pioneering research award, and first place in the CVPR Embodied AI navigation challenge. He’s held research and leadership roles at Meta and Anthropic after completing a PhD at UC Berkeley under advisors Jitendra Malik and Amir Zamir, and he often delivers practical systems (e.g., multimodal simulators and reconstruction tools) alongside top-tier publications. A less obvious strength is his track record of translating theoretical insights into deployable datasets and efficient fine-tuning workflows that materially improve downstream robot performance.
14 years of coding experience
Github Skills (9)
notification9
signal7
django-admin7
django6
python5
monitoring1
service-monitor1
monitor1
checker1
Programming languages (1)
Github contributions (5)
bitcaster-io/bitcaster
Mar 2019 - Jun 2019
System-to-user signal-to-message notification system
Contributions:422 commits in 3 months
signalnotificationsnotificationnotification-systemmessage
saxix/django-iadmin
Jun 2011 - Apr 2012
Contributions:137 commits in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.