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Research Assistant Engineer

Location:
Gwanak-gu, Seoul, South Korea
Posted:
November 16, 2022

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Resume:

VAN-TU VO

+82-010-****-**** adtj56@r.postjobfree.com Linkedin Github

EXPERIENCE

InhandPlus Inc. February 2020 - present

Research Engineer

· Develop object detection algorithm for the medical monitoring task

· Design an AutoML pipeline for an action recognition task

· Design and optimize an NLP model and deploy to Microchip

· Research and develop a recommendation system for an E-commerce company

· Deploy the recommendation system using Docker-Compose, MySQL, Django Tricubics Inc. February 2019 - February 2020

Research Engineer

· Developed segmentation algorithm using deep learning to generate data

· Designed and optimized deep learning network for classification tasks

· Analyzed and cleaned data for training deep learning models Computational Imaging Laboratory September 2016 - February 2019 Research Assistant

· Researched and developed algorithm for synthesizing high dynamic range videos

· Researched and developed algorithm for high dynamic range tone mapping

· Developed algorithm to detect pedestrian in tunnel EDUCATION

Pukyong National Univeristy September 2016 - February 2019 Master Overall GPA: 4.37/4.5

Department of Computer Engineering

Thesis: High Dynamic Range Video Synthesis using Superpixel Based - Illumination Invariant Motion Estimation Adviser: Professor Chul Lee

Hanoi University of Science and Technology September 2011 - July 2016 Bachelor Overall GPA: 3.27/4

Department of Electrical Engineering

Thesis: Simulating and Designing the Smart Solar System Adviser: Professor Hoai Linh Tran

PERSONAL PROJECTS

Zero DCE TF

• Description: A Tensorflow version of the famous Image Enhancement Algorithm

• Github: https://github.com/tuvovan/Zero DCE TF

Attention! Stay Focus! (CVPR Workshop 2021)

• Description: The code for CVPR Workshop paper on Defocus-Deblurred Images

• Github: https://github.com/tuvovan/ATTSF

Machine Learning in Production

• Description: A collection of various ways to deploy an ML model in production

• Github: https://github.com/tuvovan/ml in production SKILLS

Computer Languages C/C++, MATLAB, Python

Software & Tools Visual Studio Code, Jupyter Notebook Library & Platform OpenCV, Tensorflow, Keras, Pytorch, Kubeflow, Docker, VertexAI OS & Platform Linux, Window, Raspberry, Nvidia Jetson Languages Professional (IELTS 7.5)



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