Job opportunity issues are controversial. Discuss both viewpoints.

Vietnamese (Native), English (Fluent) Develop novel and efficient machine learning models to process the large‑scale

dataset

PCQM4Mv2, which contains more than 3 million molecules Optimize deep learning models to reduce the computation cost by 10% ‑ 20% Improve the architecture and setting of existing machine learning models for graphs to boost the accuracy by 5% ‑ 10% Implemented the Yolo V1, an advanced

model

for object detection, to detect various objects

such

as cars, motorbikes, and traffic lights on a provided real‑world image

dataset

Improved the implemented

model

with recommended tricks to boost the accuracy to 96% Analyzed the

model

performance and analyzed types of objects that can create difficulties for the

model

to detect Implemented the Siamese Net, a well‑known Computer Vision

model

for Object Detection, to track real‑world objects in a provided video

dataset

Optimize the implemented

model

to make it more efficient and reduce the inference time by 15 Developed a novel data augmentation method for the Image Classification task by using generative adversarial networks (GANs) Improved the

model

performance to achieve 92.468% prediction accuracy on the Pneumonia X‑ray

dataset

Dean’s List award (Spring semester) Undergraduate Research Participation (URP) Excellence Award Reading Technology and Science magazines Learning new programming languages Writing AI blogs