
I am driven by the challenge of making advanced AI accessible and scalable. I thrive in environments where research meets real-world impact, building open-source tools that empower developers to change the world.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Co-founded the PyTorch framework, which serves as a global industry standard for artificial intelligence development.
Serves as CTO at Thinking Machines and an active investor, focused on scaling intelligent systems.
Offers expert guidance on open-source strategy, engineering team management, and hardware-software integration.
🚀 Career trajectory
Research Foundations
Established deep technical expertise in computer science and algorithms during early academic and professional research roles.
✦ Computer Science
✦ AI Research
Scalable Engineering Leadership
Scaled influence as a Distinguished Engineer and VP at Meta, overseeing massive AI product shifts.
✦ Strategic Leadership
✦ Systems Scale
Innovation & Venture
Leading as CTO at Thinking Machines while actively investing in the next generation of AI and robotics labs.
✦ CTO
✦ Investor
💪🏻 Superpowers
Open-Source Architecture
Defining the ecosystem for modern machine learning
✦ Co-created PyTorch, transforming deep learning research into production-ready software.
✦ Architected foundational ML frameworks used by millions of developers worldwide.
Technical Scale Leadership
Scaling engineering organizations and massive systems
✦ Led cross-functional teams in high-pressure environments at Meta to deliver AI solutions.
✦ Directed large-scale product deployments impacting a global user base.
Robotics & Hardware Systems
Merging software intelligence with physical-world applications
✦ Applied deep learning expertise to complex robotics and embedded systems.
✦ Bridged low-level hardware constraints with high-level AI algorithmic efficiency.
I'm excited about
✦ Exploring collaborative opportunities with founders building frontier AI and robotic hardware.
✦ Engaging with technical communities to drive new standards for open-source machine learning.
✦ Connecting with peers to exchange insights on the future of autonomous systems and distributed computing.
I can help with
✦ Providing strategic guidance on open-source project sustainability and community adoption.
✦ Advising on engineering culture, team structure, and managing high-scale AI technical projects.
✦ Mentoring technical leaders through the challenges of scaling research-heavy products.
I would love your help on
✦ Identifying high-potential hardware startups pushing the intersection of AI and robotics.
✦ Gaining perspectives on emerging non-obvious applications of deep learning in industrial settings.
✦ Exploring strategic partnerships for advancing open-source compute infrastructure.