Hi, I'm Kin Chiu - ASIC, SoC, FPGA, DSP, hardware/software co-design
I'm driven by the challenge of architecting novel hardware for AI, bridging the gap between advanced algorithms and silicon. I thrive when pushing the boundaries of ML acceleration and collaborating on high-impact, innovative projects.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Earned a Ph.D. from Georgia Tech, specializing in signal processing and machine learning.
Architecting ML-focused SoCs for enhanced performance at Google.
Can help others by advising on hardware/software co-design strategies for complex systems.
🚀 Career trajectory
Academic Foundation
Pursued rigorous B.S. and M.Eng. from Cornell, followed by a Ph.D. from Georgia Tech, focusing on signal processing and machine learning research.
✦ Cornell University
✦ Georgia Tech
✦ Signal Processing
✦ Machine Learning
Industry Immersion - Imaging & Digital Design
Gained practical experience at Eastman Kodak in imaging systems and later as a Digital Design Engineer at Texas Instruments, focusing on ASIC development.
✦ Eastman Kodak
✦ Texas Instruments
✦ ASIC Design
✦ Imaging Systems
Advancing ML at Scale
Currently developing cutting-edge Machine Learning SoC solutions as a Machine Learning SoC Engineer at Google, focusing on hardware acceleration.
✦ Machine Learning SoC
✦ Hardware/Software Co-design
💪🏻 Superpowers
Pioneering ML Hardware Acceleration
Designing next-gen SoCs for AI workloads
Architecting ML-focused SoCs for enhanced performance.
Integrating complex DSP and hardware/software co-design.
Leveraging ASIC expertise for efficient AI deployment.
Bridging Algorithm to Silicon
Translating research into tangible products
Expertise in signal processing algorithms and their hardware implementation.
Developing custom ICs for image sensors and camera systems.
Experience in the full product lifecycle from R&D to commercialization.
Cross-Disciplinary Engineering Leader
Driving innovation through diverse technical skills
Proficient in ASIC, SoC, FPGA, and DSP design principles.
Skilled in hardware/software co-design and embedded systems.
Combining academic rigor with practical industry application.
I'm excited about
Exploring novel hardware architectures for emerging AI applications.
Connecting with researchers and engineers pushing the boundaries of ML hardware.
Discovering opportunities to collaborate on high-impact, innovative projects.
I can help with
Providing insights into optimizing ML algorithms for silicon implementation.
Advising on hardware/software co-design strategies for complex systems.
Sharing expertise on ASIC design and verification methodologies.
I would love your help on
Identifying potential collaborators in the advanced AI research community.
Learning about emerging trends in specialized hardware accelerators.
Finding new applications for signal processing and ML technologies.