An ordinary young man who always wants to create unordinary things

Charles Lin

Last updated July 17, 2022

1.

Self Introduction

Rice University🦉 / National Chung Cheng University (CCU)

2021 Fall Master of Computer Science student in Rice University👨🏻‍🎓

- Graduated from Dept. Computer Science and Information Engineering (CSIE), National Chung Cheng University (CCU). Nice to meet you all!

Contact me


2.

Side / Course Projects

1. Linux / Mac / Windows Terminal Setting File
- Setting files for terminal in different operating systems.

2. (Rice D2K) Fake News Detection on Covid-19
- Fake News Detection on Covid-19 with BERT model.

3. Financial Report Scraping
- Scrape finanial reports (financials, balance-sheet, cash-flow) from Yahoo Finance.

3.

Extracurricular Activities

CCU CSIE Dept. / Feelings Guitar Club / CCU CSIE Dept. Student Association

CSIE Dept., National Chung Cheng University (CCU) (Sep 2015 – Jun 2019)
Deputy Class Representative
- Carried out class booking.
- Modified essential events with the CSIE Dept. office.

Feelings Guitar Club, CCU (Sep 2016 – Jun 2017)
Head of Education
- Designed course materials to teach guitar lessons to less experienced students and gave feedback on performances.
- Held contests and screened for potential competitors for Guitar Club competitions.
- Led and supervised musical concerts held by younger students.
- Discussed upcoming events and reviewed all works after performance twice a week.

CSIE Dept. Student Association, CCU (Sep 2016 – Jun 2017)
Head of Public Relations
- Held mixers and Christmas party (about 160 attendees) with different departments.
- Attended weekly meetings to discuss all organizations and schedules of association events.

4.

Working / Research Experience

Lutron / Ucfunnel / CCU Machine Vision and Learning Lab / Viscovery

Lutron / Philadelphia PA (May 2022 – Present)
Software Engineer Intern
- Constructing a notification system (email, text, and push) with GO onto the AWS cloud services.

Ucfunnel / Taipei, Taiwan (Sep 2020 – Jul 2021)
Data Scientist
- Constructed a CI/CD pipeline for all ads’ model predictions and evaluations by using Docker, Airflow, Jenkins, and Rancher to deploy the whole workflow automatically and to better perform AB model testing.
- Increased 41% of the ads’ winning rate prediction and tripled the overall ads’ click-through rate from 0.04% to 0.12% by filtering out biased data, adjusting features, revising ROC curve’s threshold, and implementing RUS with Python and Golang at the local workspace and the back-end DMP.
- Built an automated testing system to ensure all features extracted at local correspond to the online server.

Machine Vision and Learning Laboratory / CCU (Sep 2017 – Jul 2019)
Laboratory Intern
- AI City Challenge Project: Utilizing Cycle GAN to make the generator separately train five different directions of car motion via large datasets with different brands and 10,000 distinct cars , thereby stimulating the generator to mimic and produce a new style of car with five different directions of motion.
- Writing Calligraphy with Robotic Arm Project: Utilizing Cycle GAN to make a robotic arm learn a dataset with numerous characters written in the slender gold and semi-cursive scripts; by labeling the strokes of the characters , the robotic arm can write them with more accurate strokes.

Smart Living Technology Research Center / CCU (Sep 2018 – Apr 2019)
System Programmer
- Programmed and optimized a facial recognition system for the National Intercollegiate Athletic Games (with about 7,500 competitors) using OpenCV and implementing Flask to transmit and display predictions from backend to frontend using the JSON format.
- Designed and arranged the user interface on the frontend website with OpenCV, HTML, and CSS.

Viscovery / Taipei, Taiwan (Jan 2019 – Feb 2019)
Computer Vision Intern
- Programmed a facial recognition system for the company to predict the user’s gender, age, and facial expressions through Caffe, Keras, and OpenCV; connected the source code onto the corporation’s private GitLab and its server.
- Optimized the response time (less than 1s) and the accuracy (about 70%) to predict gender, age, and facial expression of the facial recognition system.

Embedded System Laboratory / CCU (Sep 2017 – Dec 2018)
Undergraduate Student
- Used WGAN-GP and image processing to create a generative adversarial network model to do fashion design.
- Fetching men’s fashion clothing from the Internet by Python (web crawling).

5.

Award Records

ITSA Website / CCU AI Hackathon Competition / Creative Software Applications Contest

Received two Presidential Honor Awards
- Scored top 1 out of 58 in class (Mar 2019).
- Scored top 2 out of 48 in class (Oct 2018).

AI Hackathon Competition Honorable Mention, CCU Smart Living Technology Research Center (Aug 2019)
Team Leader
- Ranked 1st out of 7 in Autonomous Driving: High Solution Scene Depth Prediction based on LIDAR and video, using the self-supervised depth-completion model published in ICRA 2019.

Creative Software Applications Contest Honorable Mention, Dept. of Info and Tech Education, Ministry of Education (Apr 2019)
Team Leader
- Implemented sparse coding to correspond the objects in scribble with Caltech 101 and utilized Siamese Network to convert scribbled into masterpieces with MATLAB.

Central District Programming Competition Honorable Mention, NCUE, Dept. of CSIE (Dec 2018)
Team Leader
- Ranked 5th out of 17 in a programming competition among National Chiao Tung University, National Tsing Hua University, and National Cheng Kung University.

ITSA Annual Collegiate Programming Contest Honorable Mention, Dept. of Info and Tech Education, Ministry of Edu (Jun 2017)
Team Member
- Earned Honorable Mention (12th/98) in ITSA Annual Collegiate Programming Contest, which participants included students of all colleges in Taiwan.


6.

Resume & Github Homepage

Resume / Personal Github

Here's my Resume and Github Homepage. Viewers can clearly find out some side projects that I did in the past. It's my honor to share all the stuffs with you!