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职场能力评价定义
Vo Hoang Chuong
AI engineer
Taipei City, Taiwan
As an AI engineer with a strong background in machine learning and computer science, I am excited to bring my skills and experience to bear on challenging and impactful projects. With a proven track record of developing and implementing innovative AI solutions, I am confident in my ability to drive results and make a meaningful contribution to any team. Whether developing new algorithms, optimizing existing models, or working with large and complex data sets, I thrive on the opportunity to apply my skills and expertise to real-world problems. I am passionate about staying up-to-date with the latest developments in the field and am always looking for ways to expand my knowledge and improve my abilities.
Work Experience
Teaching Assistant - Calculus w/ Analytical Geometry 1 • University of Science and Technology - The University of Danang
- Lead discussion sections and homework tutorials.
- Evaluate and grade assignments, papers and record grades.
- Follow established guidelines and gather relevant data for projects and reports.
April 2018 - July 2018
Teaching Assistant - Linear Algebra • University of Science and Technology - The University of Danang
- Lead discussion sections and homework tutorials.
- Evaluate and grade assignments, papers and record grades.
- Follow established guidelines and gather relevant data for projects and reports.
May 2019 - Jun 2019
AI Fresher • VNPT-IT
- Assisting with the development and implementation of AI solutions for clients.
- Collaborating with the team to gather and analyze data to improve the performance of AI models.
- Keeping up-to-date with the latest advancements in AI and machine learning technology.
- Participating in code reviews and testing to ensure the quality of the AI solutions.
- Communicating with clients to understand their requirements and provide recommendations for AI solutions.
September 2020 - Jan 2021
Education
2015 - 2020
Da Nang University of Science and Technology
Bachelor's degree in Electronic and Communication Engineering - GPA: 3.67/4
- Studying the fundamental principles of electronic and communication systems, including circuit design, signal processing, and telecommunications.
- Participating in laboratory experiments to gain hands-on experience with electronic and communication equipment and technologies.
- Analyzing and interpreting data to improve the performance of electronic and communication systems.
- Collaborating with other students and professors to complete group projects and assignments.
- Participating in code reviews and testing to ensure the quality of electronic and communication systems.
- Communicating research findings through presentations and reports.
2021 - 2023
National Taiwan University of Science and Technology, 國立臺灣科技大學
Master's degree in Electrical Engineering - GPA: 4.15/4.3
- Conducting research in the field of computer vision, including image and video analysis, object detection and recognition, and 3D reconstruction.
- Developing and implementing algorithms and models for image and video processing.
- Analyzing and interpreting data to improve the performance of computer vision systems.
- Collaborating with other researchers and students to share knowledge and ideas.
- Participating in code reviews and testing to ensure the quality of the computer vision solutions.
- Communicating research findings through presentations and publications.
Licenses & Certifications
Natural Language Processing in TensorFlow
Coursera
TY6B4QCK387W
Issued December 2020 · No Expiration Date
IELTS Certificate - 7.5 overall
IDP Education
19VN000307VOH276A
Issued May 2019 · Expired May 2021
Honors & Awards
2016 - 2020
Annual Merit-based Scholarship at the University of Science and Technology - The University of Danang
May 2016
The Third Prize in English at Danang University's OLYMPIC for Good Students
April 2018
The First Prize in English at Danang University's OLYMPIC for Good Students
May 2018
The Second Prize in Technology at BK Tech Show
May 2019
Best Idea prize at the FAST Tech Show 2019
2021 - 2023
Full scholarship recipient at National Taiwan University of Science and Technology
Skills
Programming Languages
- Python
- C++
AI Frameworks
- Pytorch
- Tensorflow
Soft skills
- Communication
- Teamwork
- Leadership
- Problem solving
Languages
- Vietnamese - Native speaker
- English - IELTS 7.5
- Chinese - Beginner
Projects
Saliency prediction for 360-degree video
This work presents a new approach to 360° video saliency prediction using a spherical convolutional network. The proposed method focuses on defining the convolutional kernel as a spherical cap. During the convolution process, instead of using neighboring pixels with regular relationships in the equirectangular projection coordinate, the convolutional patches are transformed to maintain the spherical perspective of the spherical signal.
Semantic Segmentation of Point Clouds
This work introduces an enhanced version of RandLA-Net, named RandLASAMP-Net, a neural network designed for efficient per-point semantics inference on large-scale point clouds. Despite its computational and memory efficiency, the local feature aggregation modules in RandLA-Net still rely on a basic attention mechanism. To enhance the performance of the local feature aggregation module in point cloud segmentation tasks, the authors propose integrating a self-attention mechanism. Moreover, a multi-pyramid module is utilized to increase the ability to learn global and local context feature.
Vo Hoang Chuong
AI engineer
Taipei City, Taiwan
As an AI engineer with a strong background in machine learning and computer science, I am excited to bring my skills and experience to bear on challenging and impactful projects. With a proven track record of developing and implementing innovative AI solutions, I am confident in my ability to drive results and make a meaningful contribution to any team. Whether developing new algorithms, optimizing existing models, or working with large and complex data sets, I thrive on the opportunity to apply my skills and expertise to real-world problems. I am passionate about staying up-to-date with the latest developments in the field and am always looking for ways to expand my knowledge and improve my abilities.
Work Experience
Teaching Assistant - Calculus w/ Analytical Geometry 1 • University of Science and Technology - The University of Danang
- Lead discussion sections and homework tutorials.
- Evaluate and grade assignments, papers and record grades.
- Follow established guidelines and gather relevant data for projects and reports.
April 2018 - July 2018
Teaching Assistant - Linear Algebra • University of Science and Technology - The University of Danang
- Lead discussion sections and homework tutorials.
- Evaluate and grade assignments, papers and record grades.
- Follow established guidelines and gather relevant data for projects and reports.
May 2019 - Jun 2019
AI Fresher • VNPT-IT
- Assisting with the development and implementation of AI solutions for clients.
- Collaborating with the team to gather and analyze data to improve the performance of AI models.
- Keeping up-to-date with the latest advancements in AI and machine learning technology.
- Participating in code reviews and testing to ensure the quality of the AI solutions.
- Communicating with clients to understand their requirements and provide recommendations for AI solutions.
September 2020 - Jan 2021
Education
2015 - 2020
Da Nang University of Science and Technology
Bachelor's degree in Electronic and Communication Engineering - GPA: 3.67/4
- Studying the fundamental principles of electronic and communication systems, including circuit design, signal processing, and telecommunications.
- Participating in laboratory experiments to gain hands-on experience with electronic and communication equipment and technologies.
- Analyzing and interpreting data to improve the performance of electronic and communication systems.
- Collaborating with other students and professors to complete group projects and assignments.
- Participating in code reviews and testing to ensure the quality of electronic and communication systems.
- Communicating research findings through presentations and reports.
2021 - 2023
National Taiwan University of Science and Technology, 國立臺灣科技大學
Master's degree in Electrical Engineering - GPA: 4.15/4.3
- Conducting research in the field of computer vision, including image and video analysis, object detection and recognition, and 3D reconstruction.
- Developing and implementing algorithms and models for image and video processing.
- Analyzing and interpreting data to improve the performance of computer vision systems.
- Collaborating with other researchers and students to share knowledge and ideas.
- Participating in code reviews and testing to ensure the quality of the computer vision solutions.
- Communicating research findings through presentations and publications.
Licenses & Certifications
Natural Language Processing in TensorFlow
Coursera
TY6B4QCK387W
Issued December 2020 · No Expiration Date
IELTS Certificate - 7.5 overall
IDP Education
19VN000307VOH276A
Issued May 2019 · Expired May 2021
Honors & Awards
2016 - 2020
Annual Merit-based Scholarship at the University of Science and Technology - The University of Danang
May 2016
The Third Prize in English at Danang University's OLYMPIC for Good Students
April 2018
The First Prize in English at Danang University's OLYMPIC for Good Students
May 2018
The Second Prize in Technology at BK Tech Show
May 2019
Best Idea prize at the FAST Tech Show 2019
2021 - 2023
Full scholarship recipient at National Taiwan University of Science and Technology
Skills
Programming Languages
- Python
- C++
AI Frameworks
- Pytorch
- Tensorflow
Soft skills
- Communication
- Teamwork
- Leadership
- Problem solving
Languages
- Vietnamese - Native speaker
- English - IELTS 7.5
- Chinese - Beginner
Projects
Saliency prediction for 360-degree video
This work presents a new approach to 360° video saliency prediction using a spherical convolutional network. The proposed method focuses on defining the convolutional kernel as a spherical cap. During the convolution process, instead of using neighboring pixels with regular relationships in the equirectangular projection coordinate, the convolutional patches are transformed to maintain the spherical perspective of the spherical signal.
Semantic Segmentation of Point Clouds
This work introduces an enhanced version of RandLA-Net, named RandLASAMP-Net, a neural network designed for efficient per-point semantics inference on large-scale point clouds. Despite its computational and memory efficiency, the local feature aggregation modules in RandLA-Net still rely on a basic attention mechanism. To enhance the performance of the local feature aggregation module in point cloud segmentation tasks, the authors propose integrating a self-attention mechanism. Moreover, a multi-pyramid module is utilized to increase the ability to learn global and local context feature.