My Advantage
I combine AI infrastructure expertise with product thinking — bridging deep technical depth and real customer impact.
Sound on
Solutions Architect
Cathy Huang
Automotive Solutions Architect at Amazon Web Services
At AWS, I design and validate GenAI applications, GPU infrastructure, and agentic AI architectures for automotive customers — while building personal AI products and interactive experiences that make AI easier for anyone to learn and use.
- AWS
- Carnegie Mellon University CMU
- Published at ACM CHI ACM CHI
- Generative AI
- GPU & Kubernetes
- Automotive AI
- Personal AI
- Interactive AI
What I Do
I build cloud solutions for automotive workloads like smart cockpit, autonomous driving data loops, connected vehicles, and embodied intelligence.
What I Explore
I explore personal AI and AI × Education × Visualization — products and interactive experiences that put AI within reach of anyone, not just engineers.
Background
- M.S. Information Systems Management Carnegie Mellon University · Highest Distinction
- B.Sc. Computing The Hong Kong Polytechnic University · First-Class Honours
- Exchanges: NUS · University of Cambridge
Selected Publications
- JournalAIde: Empowering Older Adults in Digital Journal Writing ACM CHI 2025
- Measuring Adversarial Datasets ART of Safety @ AACL-IJCNLP 2023 · Co-first author
Open to conversations on personal AI, AI × Education × Visualization, interactive AI experiences, agent systems, AI infrastructure, and automotive AI.
