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awesome-slam-datasets's Introduction

👋 Introduction

I am a dedicated software research engineer who takes pleasure in delving into the capability of Computer Vision and Artificial Intelligence to address everyday challenges. My goal is to contribute towards creating a better world, particularly in transportation, education, and healthcare, for the well-being of my loved ones. Throughout this lifelong and challenging journey, I eagerly anticipate collaborating with and learning from the amazing people around me.


🔧 Skills & expertise

  • Programming languages: C, C++, Python, C#, MATLAB, Java, Javascript.
  • Fundamentals: Data Structures & Algorithms, Computer Vision, Deep Learning, Machine Learning.
  • Frameworks/Libraries: OpenCV, Tensorflow, Pytorch, Darknet, FFMPEG, DeepStream, ROS, WPF, Qt.
  • Software version control: Git, SVN.
  • Databases: Microsoft SQL Server, MySQL, SQLite, Postgres.
  • Hardware platform: Jetson Nano, Jetson Xavier NX.
  • Languages: Vietnamese (Native), English (Professional), Korean (Basic).
  • Others: Microsoft Office, LaTEX, JSON, XML, Batch.

💼 Professional experience

AI Researcher | DeltaX, Republic of Korea (06/2022 - present)

  • Coordinating the team to develop and maintain smart in-cabin monitoring solutions for the advanced driver-assistance system.
  • Collaborating with the team to propose and design solutions for 2D/3D perception problems using cameras (pinhole/fisheye, RGB/IR) with LIDAR/RGB-D supervision.
  • Designing, implementing, and maintaining utility software for camera calibration, data collection, annotation, and analysis.

Research Engineer | Smart Deep, Republic of Korea (05/2021 - 05/2022)

  • Participated in Deep Neural Network training pipeline: data labeling, cleaning, and training.
  • Developed tools for preprocessing datasets and evaluating inference model consistency.
  • Developed new features and improved client programs’ performance and dynamic-link libraries (DLL).
  • Developed a video processing system for interesting object detection.
  • Researched and proposed solutions for company projects.

Research Intern | Ubay Solution, Republic of Korea (12/2020 - 04/2021)

  • Researched to find solutions for Optical Character Recognition (OCR) problems in detecting and recognizing license plate numbers and container codes.
  • Evaluated the performance and consistency of several deep learning frameworks on our custom dataset.
  • Deployed inference model on NVIDIA Jetson Nano board

Research Assistant | ANDA Lab - Soongsil University, Republic of Korea (08/2018 - 08/2020)

  • Researched to find and solve problems in the vehicle localization process based on detecting vehicle taillights using camera images.
  • Read and wrote scientific papers related to the project.

Trainee | Global Cybersoft JSC, Vietnam (03/2017 - 08/2017)

  • Learned the software development process in practice.
  • Supported team to design and develop plugins as required by customers.
  • Attended the peer-review process that uses appropriate tools to evaluate code quality.

🎓 Education

Master of Engineering in Information Communication | Soongsil University, Republic of Korea (08/2018 - 08/2020)

  • GPA: 4.01/4.05
  • Thesis: LED Taillight Matching in Nighttime Vehicle Positioning
  • Supervisor: Professor Myungsik Yoo

Bachelor of Engineering in Software Engineering | University of Information Technology - Vietnam National University in Ho Chi Minh City, Vietnam (08/2013 - 06/2018)

  • GPA: 8.6/10
  • Thesis: Coronary Arteries Segmentation from Coronary Angiogram
  • Supervisor: M.Sc. Thi-Vuong Pham

📰 Publications


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