Wen Jye Chai

About

Hi, I'm a passionate Computer Science with AI graduate seeking for graduate level opportunity. I'm equiped with ample experience in machine learning, computer vision and big data.Do not hesitate to reach out to me!

Computer Vision & Machine Learning Software Engineer.

Birthday: 24 July 2000
Phone(UK): +447825623470
Phone(MY): +601131211899
City: Nottingham, UK

Degree: Bachelor of Science with Honours (BSc Hons)
Nationality: Malaysian
Email: wenjye00@gmail.com
Employment Status: Actively Looking

Equipped with analytical skills, good communication skills, great adaptability, problem solving skills and team management skills gained from previous experiences. Interested and curious about new technologies and implementations in the industry.

Eager to contribute and cooperate with individuals as a team, as well as motivated to learn, grow and excel in the industry and workplace as a whole

Skills

Let's have a quick overview of my major technical skill sets that I have gained along the journey.

Python 100%

TensorFlow 85%

Pytorch 85%

C++ 85%

HTML 80%

Pyspark 90%

Matlab 90%

C 75%

Java 80%

Django 80%

Resume

Education

Bachelor of Science, Computer Science with Artificial Intelligence

2019 - 2022

University of Nottingham, Nottingham, United Kingdom

Grade : 1st Class Honours
Dean’s Excellence Scholarships 2019-2020 recipient

Professional Experience

Computer Vision Engineer Intern

06/2021 - 09/2021

Saratix, Selangor, Malaysia

Project title: Background and Human Body Part Segmentation
Contributed and collaborated effectively as a team member in image segmentation project.
Remove cluttered background as well as segmenting different body parts from a human body image.
Experiment with various CNN network such as, U-Net, SegNet and PSPNet
The final PSPNet model is trained with only 100 images and achieved Mean Intersection over Union score of 0.97
Development experienced with python, pytorch, google colab

Relevant Experience

Dissertation Researcher

09/2021 - 05/2022

University of Nottingham, Nottingham, United Kingdom

Project title: Unsupervised Domain Adaptation for Medical Image Segmentation
Designed and developed an improved framework that perform automatic medical image segmentation using unsupervised domain adaptation approach.
Proposed model achieved Mean Dice Score of 0.8108
Resulting model framework achieved rank 6 out of 75 in the CrossMoDA post-challenge
Submitted a conference paper in AII2022 based on the proposed model (Update: Paper accepted)

Secretary/ Publicity Manager

09/2020 - 06/2021

Nottingham Buddhist Society, Selangor, Malaysia

Designed publicity contents for over 10 virtual events through social media marketing.
Organised and conducted various events with teamwork of 5 executives committees.
Managed and monitored the financial activity of the society.

Organising Committee President

09/2019 - 06/2020

AIESEC University of Nottingham Malaysia, Selangor, Malaysia

President of 'Clean Our Plate' (C.O.P) Project which targets at SDG #12: Responsible Consumption and Production, Leader in a 10 people committees.
Worked closely with volunteers coming from China, Kenya and Hong Kong.
Conducted over 4 workshops with 4 different schools aiming at increasing the students' awareness regarding food waste management.

Senior Executive Committee

05/2018 - 05/2019

AIESEC University of Nottingham Malaysia, Selangor, Malaysia

Managed 'Light Your Future Eureka' (LYFE) Project which targets at SDG #4: Quality Education.
Worked closely with volunteers coming from Germany, Pakistan, Indonesia, Vietnam and China.
Conducted over various workshops aiming at providing right awareness of career path for students.