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Who am I?

Zhe Ming profile photo

Hello, I am Ming, a Computer Science sophomore at Georgia Tech and welcome to my website!

When I was 16, I fell in love with computing after seeing how they can help to reduce human workloads. Since then, I have worked on learning more programming languages and on different projects. From using Python to improve deep learning lane detection outputs for autonomous vehicles to HTML/CSS and Javascript for this website to quickly picking up VBA to build a pass management system in Microsoft Excel, there's always so much more to explore.

I'm always excited to learn more about computer science, with my current interests lying in machine learning and computer vision.

Experience

Undergraduate Research Assistant (Georgia Institute of Technology)

Dec 2020 - Present

  • AI through Symbiosis project in the Contextual Computing Group under Prof. Thad Starner
  • Building system that enables machines to augment warehouse workers by organically learning tasks from human pickers
  • Developing code to detect ArUco markers, predict obscured markers' location, localize hand, and identify object selections
  • Working on computer vision pipeline with OpenCV and deep learning hand pose detection models, e.g. Mediapipe Hands

Software Engineer Intern (Meta/Facebook AI)

May 2022 - Jul 2022

  • Built backward compatible continuous learning (BCCL) training and evaluation pipeline on AI Applied Research, Computer Vision team
  • Added improvements to method, e.g. vary training frequency of models, with overall >20% increase in offline kNN performance by method
  • Proposed new experiments to investigate ability of new method to avoid forgetting problem in continuous learning

Undergraduate Research Assistant (CS4605/7470) (Georgia Institute of Technology)

Jan 2022 - May 2022

  • Mentored three student semester-long research projects and designed, conducted, and graded in-class and online class activities
  • Held office hours for >100 undergraduate, graduate, and online masters (OMSCS) students (inaugural online masters cohort for class)
  • Covered ubiquitous computing topics such as applied machine learning, wearable computing, prototyping, and sensor data analysis

Algorithm Engineer (Computer Vision) Intern (Tiktok/Bytedance)

May 2021 - Jul 2021

  • Achieved up to 400% increase in model throughput, reducing compute resources required, with higher recall and precision
  • Built and evaluated six image classification and detection models with greater speed and recall to improve advertisement moderation pipeline for various products
  • Performed two sets of experiments to measure impact of data labeling accuracy on deep learning model performance

Robotics Intern (Mistletoe Inc.)

Jan 2020 - Jul 2020

  • Designed electrical subsystems and programming for two farming robot prototypes to enable next-gen remote farmers
  • Worked with Raspberry Pi (Python) single-board computer and Arduino (C++) family of microcontroller boards
  • Assisted in organizing virtual conference for 280 international delegates from startup, academic, and investment sectors
  • Developed Telegram bot using Python to handle and coordinate print requests for company’s 3D printer

Intern (Red Dot Robotics Pte Ltd.)

Nov 2019 - Dec 2019

  • Conceptualized method for autonomous vehicles that improves deep learning lane detection model results by up to 140%
  • Authored company’s first research paper based on lane detection research work completed during the internship
  • Trained and conducted experiments on state-of-the-art machine learning models using large-scale lane detection datasets

Full-Time National Serviceman (Singapore Armed Forces)

Jan 2018 - Nov 2019

  • Initiated and maintained digital pass management system using Excel VBA handling >500 base visitors daily
  • Tripled speed of pass issuing operations and digitalized contractor entrance records to enhance base security
  • Developed standard operating procedures and technical documentation for system

Rolling Stocks Intern (Land Transport Authority (LTA) Singapore)

Dec 2017

  • Worked on conceptualizing interior layouts of mass rapid transit trains
  • Presented ideas and findings to Chief Executive of LTA at the end of internship

Education

Georgia Institute of Technology (Bachelor of Science)

2020-2024

Major: Computer Science, with a Minor in Mathematics

Current GPA: 4.0/4.0



Dunman High School (Singapore-Cambridge GCE "A" Level Examinations)

2012-2017

Grade: Full 8 Distinctions (including H3)

Subjects taken: H2 Physics, H2 Computing, H2 Mathematics, H2 Economics, H1 Project Work, H1 General Paper, O Level Higher Chinese


Co-curricular Activities: Robotics (2012-2017), Tennis (2016-2017) and Infocomm (2016-2017)

Robotics
(Senior High)
Robotics
(Junior High)
Tennis
Infocomm

Nanyang Technological University (Non-Graduating Student)

2017

H3 Semiconductor and Devices: Distinction



Programming Languages

5 years

2 years

2 years

1 year

1 year

0.5 years

New!

Talks and Presentations

PyCon SG 2019

PyCon SG 2019 Tello Drone Tutorial

Co-organized tutorial to present an introductory programming course using Python to connect and and control a Tello EDU drone using User Datagram Protocol (UDP) at PyCon Singapore 2019.

ICPR 2020

International Conference on Pattern Recognition 2020 Paper

Lead presenter for "RONELD: Robust Neural Network Output Enhancement for Active Lane Detection Paper" at ICPR 2020 as a poster presentation.

View paper View code

Projects

I love working on projects as they give me a chance to apply the stuff that I've learnt. Here are some of my favourite from different stages of my learning journey:

CashIt web app screenshot by Zhe Ming

CashIt

A mobile payment solution for the unbanked.

Developed for Code:XtremeApps:: 24-hour hackathon, just 6 months after joining computing.

View webapp
SavinUp web app screenshot by Zhe Ming

SavinUp

Your personal financial chatbot.

Developed for BiZiT Festival Standard Chartered Fintech Track

View code
GoWhere@SG screenshot by Zhe Ming

GoWhere@SG

Ever ran out of things to do? GoWhere@SG will suggest activities for you, from user-submitted events to landmarks in Singapore

View webapp
Remote controlled plane photo by Zhe Ming

Remote Controlled Plane

Designed and built over 4 years for the Singapore Amazing Flying Machine Competition.

(Yes, the plane holder was built from scrap)

BuildingBloCS Logo

BuildingBloCS Computer Science Conference 2017

Competition lead for inaugural 2-day conference for >100 secondary school students.

Coordinated various committees comprising students from 11 different schools and worked with various industry partners

View website
Places@DHS web app screenshot by Zhe Ming

Places@DHS

A location directory for my school, where students can submit their fondest memories about the various locations.

My first webapp

View webapp

Awards

Media

Zhe Ming - Channel 8 Hello Singapore screengrab

Courses and Certifications