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.
