Education & Experiences
Work Experience
Please visit my LinkedIn Profile for details.
- AI/ML Engineer (Freelance), Iago Education, San Mateo, CA (2023 - 2024)
- Staff ML Engineer, Twitter, San Francisco, CA (2019 - 2023)
- R&D Engineer, Sr. II, Synopsys, Mountain View, CA (2015 - 2018)
- Research Intern, Intel, Hillsboro, OR (2011)
Education
- M.S./Ph.D., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA (2008 - 2015)
- B.S., Electrical Engineering, Taipei, Taiwan (2004 - 2008)
Training Programs
- AI Bootcamp for Machine Learning Engineers, deeplearning.ai (July 2018) (Certificate)
MOOC
- CSMM.102x: Machine Learning, edX/Columbia University (Completed May 2018) (Certificate)
- Deep Learning Specialization, Coursera/deeplearning.ai (Completed March 2018) (All Certificates)
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
Academic Experience
- Guest Lecturer, Penn State University (2020)
- Research Assistant, with Prof. Deming Chen, University of Illinois at Urbana-Champaign (2008 - 2015)
- Teaching Assistant, University of Illinois at Urbana-Champaign (2009 - 2014)
- ECE 527 System-on-Chip Design
- ECE 412 Microcomputer Laboratory
- ECE 385 Digital Systems Laboratory
- ECE 298 Digital System Design Laboratory
- Developed two labs on system-on-a-chip and embedded systems, including a USB (Universal Serial Bus) driver and an AES (Advanced Encryption Standard) decryption system. (C/SystemVerilog)
- Guest Lecturer, University of Illinois at Urbana-Champaign (2009 - 2014)
- ECE 527, ECE 385, ECE 298
- Reviewer
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- IEEE Transactions on Circuits and Systems
- IEEE Transactions on Very Large Scale Integration Systems
- ACM/SIGDA International Symposium on Field-Programmable Gate Array