
I'm driven by building intelligent systems that operate at the edge. As a co-founder and CTO, I thrive on creating on-device multimodal models and accelerating inference, transforming cutting-edge AI research into practical, powerful applications.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned at Amazon Lab126, contributing to large-scale product development.
Cofounder & CTO at NexaAI, pioneering on-device multimodal models and edge inference acceleration.
Can provide expert guidance on architecting efficient on-device AI solutions for real-time applications.
π Career trajectory
Foundational Research & Development
Began with research at Stanford, focusing on fundamental AI and software principles.
β¦ Stanford MS&E
β¦ Research Assistant
Industry Application at Scale
Applied software engineering expertise to build large-scale products at Amazon Lab126.
β¦ Amazon Lab126
β¦ Software Engineer II
Startup Leadership & Innovation
Currently co-founding NexaAI, focusing on pioneering edge AI and on-device models.
β¦ Nexa AI
β¦ Cofounder & CTO
β¦ Startup Founder
πͺπ» Superpowers
Pioneering Edge AI
Architecting advanced on-device AI for real-time inference.
β¦ Specializes in multimodal models for edge devices.
β¦ Focuses on accelerating inference for resource-constrained environments.
β¦ Drives innovation in decentralized AI solutions.
Bridging Research and Product
Translating cutting-edge AI research into market-ready products.
β¦ Experience in research at Stanford MS&E Department.
β¦ Proven ability to develop practical AI applications from theoretical concepts.
β¦ Leads development of novel AI technologies.
Deep Technical Acumen
Leveraging extensive experience in core AI and software engineering.
β¦ Expertise in Machine Learning, Deep Learning, and algorithms.
β¦ Skilled in C++, Python, and distributed systems.
β¦ Contributed to large-scale projects at Amazon Lab126.
I'm excited about
β¦ Exploring novel architectures for on-device multimodal AI.
β¦ Seeking collaborators to push the envelope in edge computing.
β¦ Connecting with visionary leaders in AI and hardware acceleration.
I can help with
β¦ Providing technical guidance on edge AI and on-device model development.
β¦ Sharing insights into building and scaling AI startups.
β¦ Offering expertise in accelerating inference for embedded systems.
I would love your help on
β¦ Identifying strategic partners for AI hardware integration.
β¦ Connecting with researchers specializing in novel sensor fusion.
β¦ Finding early adopters for cutting-edge edge AI solutions.