Dominic Nguyen - C#/C++ Software Engineer

Dominic Nguyen

4.9

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Dominic Nguyen

4.9

Gender

Male

Main expertise

C++C#Algorithm AI Computer Vision Machine Learning Python OpenCV Deep Learning Data Scientists Node.js Microservices

Introduction

Dominic Nguyen is a highly skilled C/C++ Software Engineer with a strong foundation in algorithm development. He has a passion for creating efficient and robust software solutions. Dominic is seeking a challenging role where he can leverage his expertise in C/C++ programming to contribute to the development and optimization of innovative software applications. He aims to work in a dynamic, professional environment and utilize his creativity and skills for the benefit of both the organization and himself.

Project list

BSOFT Software Solutions

A company specializing in software development, IT solutions, and digital transformation services.

Develop Android applications for processing audio and video. Develop Android games.

Technologies: C/C++, Java, Ffmpeg, Cocos2dx

AI&T Joint Stock Company

A leading technology company focused on innovative artificial intelligence (AI) and information technology (IT) solutions.

Develop a desktop application to create video for advertisement using images, audio, video, text, and fonts.

Technologies: C/C++, Java, OpenCV, Ffmpeg

Document Image Table Extraction

Implemented a solution with OpenCV to extract tables from document images.

Research and implement an algorithm to detect horizontal and vertical lines.

Technologies: OpenCV, Python

Document Image Orientation Detection

Developed a system to detect the orientation of document images accurately.

Generate training data by varying angles. Introduce noise variations to enhance data. Adjust color schemes to diversify dataset.

Technologies: OpenCV, Python

Custom Tesseract OCR Enhancement

Enhancing Tesseract OCR engine for better accuracy with custom data.

Research the Tesseract open-source engine for various tasks. Train custom models using new fonts, text, and character sets. Develop a training tool to facilitate model training with custom data including images, fonts, and text.

Technologies: Tesseract, Python, C/C++

Document Image Object Detection

Developed a custom implementation using the open-source YOLOv4 framework to detect stamps and QR codes in document images.

Customized the YOLOv4 framework for specific document image analysis. Implemented detection algorithms for stamps and QR codes. Enhanced image processing capabilities for increased detection accuracy.

Technologies: Yolov4

Information Extraction Using Graph Convolution Network

Developed a system to extract data from OCR-processed documents by utilizing predefined templates for efficient template extraction.

Research, implement, and optimize Graph Convolution Network for data extraction tasks.

Technologies: Graph Convolution Network, Pytorch, Python

Model Deployment and API Development

Deployed a template extraction model and developed APIs to enable users to train and perform inference using custom data.

Implementing a Flask server. Coding APIs for user training and inference with custom data.

Technologies: Flask, Redis, RQ, AWS, Pytorch, Python, PostgreSQL

Chemical Compound Classification Using Machine Learning

Develop and maintain machine learning models for the classification of chemical compounds.

Maintain and tune machine learning models for new data. Research new models. Evaluate the performance of new models.

Technologies: Scikit-learn, GGCP, AWS, OpenAl

Vehicle Detection in Video

Project focused on identifying and detecting various types of vehicles such as cars, buses, and motorbikes in video footage.

Label data Train model Evaluate model Tune model

Technologies: Yolov4

Vehicle Detection System

A system for detecting vehicles in videos, including cars, buses, and motorbikes.

Implementing services within the Content Management System (CMS).

Technologies: Yolov4

Project list

Education

Expertise