Hi, I'm Huan Liang - NPI Product AI/ML Quality Engineer at Google
I am driven by the challenge of turning complex hardware concepts into reliable, large-scale reality. I thrive where engineering precision meets innovation, fostering resilient systems that power the future of AI.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed foundational expertise in semiconductor reliability as a key supplier quality engineer at Cisco.
Leads high-stakes NPI quality initiatives for AI and machine learning hardware at Google.
Can help teams optimize manufacturing throughput and integrate advanced AI quality protocols into product development.
🚀 Career trajectory
Semiconductor Foundation
Began by mastering the granular technical details of power ICs and semiconductors at Cisco.
✦ Component Engineering
✦ Semiconductors
Manufacturing Scale
Transitioned to Meta, applying ML-driven quality standards to global manufacturing environments.
✦ AI/ML Integration
✦ Manufacturing Scale
Infrastructure Innovation
Currently at Google leading quality efforts for mission-critical AI/ML product infrastructure.
✦ NPI Leadership
✦ AI Infrastructure
💪🏻 Superpowers
Scalable Quality Architecture
Designing frameworks for high-volume hardware production
Architecting quality control systems for large-scale AI infrastructure.
Bridging gaps between machine learning models and physical hardware manufacturing.
Standardizing NPI processes to reduce defect rates in complex builds.
Supply Chain Precision
Navigating the complexities of global hardware components
Analyzing semiconductor performance to ensure robust hardware reliability.
Managing supplier quality from initial sourcing to mass production launch.
Mitigating production risks through rigorous component-level oversight.
Systems Thinking
Connecting technical insights to manufacturing excellence
Synthesizing data from AI models to optimize production throughput.
Driving continuous improvement initiatives across cross-functional engineering teams.
Translating complex engineering requirements into executable manufacturing goals.
I'm excited about
Exploring new developments in generative AI hardware infrastructure.
Connecting with leaders focused on future manufacturing and supply chain innovations.
Seeking collaborative environments to push the boundaries of NPI quality engineering.
I can help with
Mentoring engineers on navigating NPI product development lifecycles.
Sharing insights on integrating AI/ML models into hardware quality testing.
Providing guidance on semiconductor component reliability and supplier management.
I would love your help on
Gaining perspectives on scaling quality processes in early-stage hardware startups.
Learning about emerging trends in sustainable supply chain operations.
Expanding professional circles to include cross-industry hardware systems experts.