Lead Engineer

• Feb 2023 - Present

Junior Research Associate

• Apr 2023 - Jun 2023

Research Intern

• Jan 2022 - Mar 2023

• Work on wildfire prediction project using GOES-16 & GOES-17 satellite data, funded by NOAA and NASA. • Design preprocessing, training, and testing pipelines for distributed training on a HPC Slurm cluster. • Utilize Stochastic Deep Generative Models for video to generate band 7 for fire prediction, achieve PSNR: 40.43 and SSIM: 0.934. • Publish a research paper at AAAI 2022 Workshop. • Work on wildfire prediction project using GOES-16 & GOES-17 satellite data, funded by NOAA and NASA. • Design preprocessing, training, and testing pipelines for distributed training on a HPC Slurm cluster. • Utilize Stochastic Deep Generative Models for video to generate band 7 for fire prediction, achieve PSNR: 40.43 and SSIM: 0.934. • Publish a research paper at AAAI 2022 Workshop.

Applied Scientist Intern

• May 2021 - Aug 2021

• Conducted research in medical imaging, especially in rectal and brain MRI, using image segmentation technique. • Implemented U-Net, Vision Transformer, and their variants to achieve the best results in BraTS2020 dataset. · Developed an image augmenting operation to downsize and enhance the quality of 3D brain images. · Achieved high dicescore using U-Net 3D in BraTS2020 dataset: 87% on WT, 77.3% on TC, and 76% on ET. • Conducted research in medical imaging, especially in rectal and brain MRI, using image segmentation technique. • Implemented U-Net, Vision Transformer, and their variants to achieve the best results in BraTS2020 dataset. · Developed an image augmenting operation to downsize and enhance the quality of 3D brain images. · Achieved high dicescore using U-Net 3D in BraTS2020 dataset: 87% on WT, 77.3% on TC, and 76% on ET.

Research Assistant

• Jan 2020 - Jun 2021

• Research title: A Rolling Optimized Nonlinear Grey Bernoulli Model RONGBM(1, 1) and application in predicting total 2019-nCoV infected cases• Co-author: Hoang Anh Ngo, École Polytechnique, France• Combined the rolling mechanism with the simultaneous optimization of all model parameters (exponential, background value, and initial condition) to improve the predicting accuracy of traditional grey model GM(1, 1)• Used Vietnam's GDP from 2004 to 2018 as benchmarking data. ARPE score: 6.48%• Compared results with alternative machine learning methods, including Artificial Neural Network (ANN) and Long Short-term Memory (LSTM) Show less

Full stack Developer

• Oct 2019 - Jun 2021

• Velvet - A sexual consent app for college students to reduce sexual assault rate• Developed prototypes for the app using Adobe XD• Built the native app with iOS using Swift to maintain high-level encryption• Receive $1000 to develop the project

Software Engineer

• Nov 2020 - May 2021

• Designed and implemented MoMo’s ”super-app” as a platform of multiple React Native in-house and third-parties applications (or ”mini-apps”) connected to its mobile payment service for over 21 million users nationwide.• One of half a dozen engineers responsible for Lunar New Year event on MoMo app, attracts about 60% of daily users.• Developed and maintained a pet-feeding game used by around 500,000 daily users where players can feed the pig to drop an in-app currency that could be used to donate to charity (React Native, Swift, Java).• Constructed a web admin that is responsible for storing, version controlling, configuring, and loading mini-apps JS bundledinto the core platform app - reducing the main mobile application’s size from 120Mb to 40Mb (Firebase, NodeJS, ReactJS). Show less

Software Engineer

• May 2020 - Nov 2020

Media Production Manager - VietAbroader Club HCM

• Nov 2017 - Jun 2019

• Led a team of four people to produce visual materials for club’s events.• Ran online campaigns for study abroad fairs, in which attracted up to 1000attendants.

Digital Media Producer

• May 2018 - Aug 2018

iLead Challenge is a competition which encourages high school students to run meaningful projects in their community. We offer training sessions and help the participants improve their projects. It lasts for about 2 months then the results will be announced.