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Nguyen Van T. AI, Cloud and Machine Learning Platforms

My name is Nguyen Van T. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Neural Network, TensorFlow, Computer Vision, PyTorch, Natural Language Processing, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Instances Segmentation, Multi-Object Tracking, Training Custom Object Detection Model. I am based in Hanoi, Vietnam. I've successfully completed 3 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • AI, Cloud and Machine Learning Platforms

    4 years

  • Deep Neural Network

    2 Years

  • TensorFlow

    2 Years

  • Computer Vision

    2 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Coc Coc

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Experience Highlights

Instances Segmentation

The client required training one of state of the art model in Instances Segmentation on his own dataset. Another requirement is the model must can run in real time on AWS Elastic Inference Accelerator

Multi-Object Tracking

The client wanted to implement an algorithm that can track multiple objects from a given video. The objects are given by user input. I used a robust and efficiency object tracking model for this proje

Training Custom Object Detection Model

The client's goal is to implement YOLOv3 in Tensorflow 2 and train it on a custom dataset. I implemented it exactly as he required. The project is completed successfully.

Education

  • Hanoi University of Science

    Bachelor of Computer Science (BCompSc) in Software Engineer

    2013-01-01-2018-01-01

  • Hanoi University of Technology

    Bachelor of Engineering (BEng) in Computer science

    2013-01-01-2018-01-01

Languages

  • English (Conversational)✓