a.k.a. Clive Liu
iOS Engineer @ Audible.
Experienced in the fields of Computer Vision, Machine Learning, and iOS Development.
Email / Website / LinkedIn / GitHub
iOS Engineer (SDE I) @Audible, a subsidiary of Amazon
(Jul 2021 - present)
- Advanced user experience by identifying and fixing accessibility and CarPlay bugs.
- Created internal tools for monitoring and notifying for metrics.
- Worked on a cross-functional team to build customer-facing features.
Internship in Artificial Intelligence @Industrial Technology Research Institute
(Jun 2020 - Aug 2020)
- Collaborated with a team of 4 in developing a fully automated surveillance system, which prevents the crucial assets from being swapped in transit, by utilizing PyTorch and OpenCV.
- Involved in development and configuration of test environment on Docker containers.
- Integrated the developed system into iOS devices.
- Designed a website to showcase our project result at the Taiwan Innovation technology Exhibition (TIE) — an exhibition with 500+ research units from over 40 nations.
- Responsible for configuring the NVIDIA Jetson TX2 module, and deploy the developed system onto it.
- Improved the original database grouping algorithm’s performance by 6.27x on average (from 1.38 to 0.22 ms).
- Improved the server initialization time by 2.6x on average (from 2.00 to 0.75 seconds).
Undergraduate Research Assistant @Yuan Ze University
(Apr 2018 - Dec 2018)
- Led a team of 5 in developing a system that enables contact-free dynamic heart-rate measurement, which eliminates the discomforts caused by physical contact.
- Developed an android app that streams the camera feed to our system to make predictions, which makes our system portable.
- Demo video (no intense movement)
- Demo video (subject on a treadmill)
iOS Contractor @imorev
(Nov 2017)
- Developed an iOS framework that reads images from the camera and locates tailor-made highlighter in images using OpenCV and convolution neural network.
- Used C++ to handle low-level feature extraction and Swift to handle UI implementation. And then Objective-C acts as the bridge between Swift and C++.
- Available in the App Store
- Product Website
- Languages:
- Swift: iOS Development, macOS Development, CoreML, Core Data, SwiftUI, Storyboard
- Python: PyTorch, Keras, Tensorflow, OpenCV, Flask
- Others: C, C++, 8051 Assembly Language, Matlab, Objective-C, Java, Javascript, Ruby, Ruby on Rails
- Front-end Development: HTML, CSS, Bootstrap
- Cloud Services: Heroku, FloydHub, Firebase
- Technologies & Others: Git, Regular Expression, Docker
Santa Clara University, Santa Clara, CA, USA GPA: 3.87
Master of Science - MS, Computer Science & Engineering
(Sep 2019 - Jun 2021)
- Related Coursework: Operating Systems, Algorithms, Artificial Intelligence, Distributed Systems, Machine Learning, Information Security Management, Advanced Web Programming, Computer Graphics, Computer Architecture (ARM), Image & Video Compression, Design Patterns
Yuan Ze University, Taoyuan, Taiwan GPA: 3.42
Bachelor of Science - BS, Electrical Engineering
(Sep 2015 - Jun 2019)
- Related Coursework: Computer Vision and Its Application to Home Care Services, Introduction to Multimedia Information System, Machine Learning and its Deep Structure, Mobile Big Data Analysis and Machine Learning, Neural Networks, Probability for Engineers
Split the Bill
(Nov 2020 - Dec 2020)
- Developed a bill-splitting iOS app.
- Utilized Vision framework to recognize text in receipts.
- Configured many-to-many relationships in Core Data.
- Project Link
Github Followers
(Oct 2020)
- Built a fully programmatic UI (no storyboard) iOS app that allows users to retrieve a list of followers for a certain Github user.
- Utilized Smalltalk MVC design pattern to properly handle image loading.
- Project Link
Distributed Hash-table
(May 2020)
- Created a fault-tolerant distributed key/value storage system based on Raft Consensus Algorithm written in Python.
- Addressed the issue of scalability, reliability, consistency, and fault-tolerance.
- Project Link
Speeding Camera TW
(Apr 2020)
- Developed an iOS app that notifies the driver if there is a speeding camera ahead by using geofencing.
8051 Microcontroller System
(Oct 2016 - Dec 2016)
- Built a microcontroller system that is capable of handling keyboard inputs, calculating basic arithmetic operations, displaying results onto LED buffers, and send/receive square waves to communicate with other microcontrollers.
Triplebyte Certified iOS Engineer
- Issue Date: Sep 13, 2020
- Credential ID: LqC1FdW
- Credential URL: https://triplebyte.com/tb/chun-hao-liu-ejmeqf8/certificate/track/ios