Hubert Nguyen - Machine Learning Team Leader

Hubert Nguyen

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Hubert Nguyen

Age

Gender

Male

Address

Hanoi, Vietnam

Main expertise

Machine Learning Deep Learning AI Big Data Architects TensorFlow PyTorch AWS Cloud AWS Google Cloud Data Scientists NLP Computer Vision

Introduction

Hubert Nguyen is a highly skilled and experienced professional with a robust background in coding, algorithm development, and machine learning. He has a proven record of delivering valuable solutions to clients and significantly contributing to the growth and development of his companies. Hubert is an expert in various programming languages, including Python, C/C++, and Java, and is proficient with tools such as PyCharm, Android Studio, Visual Studio, and Visual Code. He is experienced in working with cloud services such as AWS and Google Cloud and has a strong understanding of various database frameworks, including MongoDB, PostgreSQL, MySQL, and Elasticsearch. Hubert is also well-versed in big data and AI frameworks like Google BigQuery, AWS Athena, TensorFlow, PyTorch, ONNX, Triton, OpenVINO, Scikit-learn, and MLflow.

Project list

MicroIDS - Singapore

MicroIDS is a lightweight intrusion and tamper detection system that uses advanced machine learning models to identify behavioral anomalies at both the device and network levels. It employs Federated Learning techniques to enhance machine learning scalability while ensuring customer data privacy.

Design system architecture, system components Lead member implementation

Technologies: Python, FastAPI, Grafana, Prometheus, Gitlab CICD, Docker, Pytest, Federated Learning with Flower framework, PostgreSQL, Sqlalchemy, Cybersecurity skills, MLflow, Airflow, Sklearn, Pytorch

Vingroup E-commerce AI Projects - Vietnam

Developed a recommendation system for e-commerce platforms using machine learning algorithms to identify potential products for customers on Vinpearl. Additionally, implemented a targeted marketing system that utilizes machine learning to segment and rank customers for various marketing campaigns.

Gather business requirements from stakeholders. Design system architecture and MLOps architecture. Design data workflow and machine learning algorithms. Lead team members in implementation.

Technologies: Python, Pytorch, Tensorflow, Onnx, Sklearn Framework, MLflow, Airflow, FastAPI, Nginx, Grafana, Prometheus, Google cloud service, GKS, Google function, Kafka, Google Bigquery, MongoDB, MySQL, PostgesSQL, NLP model, Recommendation model

Intelligent Document Processing (IDP) SaaS Platform - Vietnam

The Intelligent Document Processing (IDP) SaaS Platform is a cutting-edge solution that utilizes artificial intelligence to enable organizations to digitize and automate the handling of unstructured data from a wide range of document sources, such as digitized document images, PDFs, word processing files, and online forms. It offers a remarkable processing speed of 600 images per second.

Communicate with customers and analyze their business requirements. Design system and MLOps architecture. Lead technical aspects of the project. Design cloud architecture and services. Manage AI team members.

Technologies: OCR model, KIE model, NLP model, Python, C++ Program language, Amazon cloud service, S3, EC2, EKS, Lambda, kafka, FastAPI, Prometheus, Grafana, Nginx, Docker, MongoDB, MySQL

Vietnamese Medical and Invoice Document Information Extraction - Vietnam

This project involves developing an information extraction system specifically designed for processing Vietnamese medical and invoice documents.

Gather business requirements. Build models and workflow of the project. Lead the technical aspects of the project. Design system architecture. Implement and deploy machine learning models.

Technologies: OCR model, Key Information extraction model, Onprem deployment, Pytorch, ONNX framework, Data Structure

eKYC Document Recognition System - Vietnam

Developed a multi-document recognition system for eKYC applications. This system is capable of accurately classifying and extracting data from a variety of personal identification documents, including national identity cards, driver's licenses, and residential address records. The system applies Federated Learning techniques to enhance machine learning scalability while protecting customer data privacy.

Gathered business requirements. Designed system architecture. Analyzed data and selected and built machine learning models.

Technologies: Segmentation model, OCR model, Face recognize model, Pytorch, ONNX framework, Docker, FastAPI

Optical and Handwriting Character Recognition System - Vietnam

Development of an Optical and Handwriting Character Recognition system tailored for Vietnamese and Korean languages.

Get business requirements and define development strategy. Design and build model

Technologies: CRNN, CTCLoss, DB text detector, Flask

Radar System Machine Learning Project - Vietnam

The project involved applying machine learning algorithms to radar systems. The goal was to develop a machine learning model to accurately classify radar objects and an algorithm to detect any abnormal radar objects.

Gather business requirements. Lead the technical aspects of the project. Design system architecture. Implement and deploy the machine learning model.

Technologies: DB Scan, Neural Network with tensorflow, C++, Python program language, Data Structure

VRS Radar Systems Project - Vietnam

Development and implementation of VRS-CSX, a coastal radar surveillance system, and VRS-2DM, an anti-aircraft radar.

Design and build software systems for information processing and signal processing. Implement algorithms to detect and track radar objects. Collaborate with the hardware team to manage all devices in the system in real time.

Technologies: Load balancing, Kalman filter, CUDA Framework, C++ programming, Data Structure

Project list

Education

Expertise