Team Lead Information Technology

PROFESSIONAL EXPERIENCE :

Team Lead

Lung Cancer Early Detection in Medical:

Research and analytic latest Paper about AI, IoT, Robotics and Applications of classification and detection in lung cancer included dataset, data preparation, chosen models and last results. Building on these papers to have the same results and then improving each steps, proposing new model to get higher accuracy, parameters, GFlops and other performance. Design and program platform like application, website to embed models weights (.pth) and evaluating the latency of prediction in reality.

Summary the better aspects of project and write a latex documentation to publish on journal having high ranking or conference.

3/2025 - 6/ 2025

Hồ Chí Minh City

SKILLS :

Python, JavaScript, SQL, Node.js, PyTorch, Flask, ReactJS, React Native (basic), Git, Google Colab, Kaggle, API development, LaTeX, Computer Vision, Time Series Analysis. Language: Vietnamese (native), English (B2 – intermediate professional) Nguyễn Phan Đức Minh

https://github.com/MinhPhanNguyen - ****************@*****.*** - 093*-****-** EDUCATION :

University of Information Technology (Bachelor Degree) Leader of scientific research group

Current GPA: 3.75/4.0

ACHIEVEMENTS :

Published some studies related to the topic of application for community, development of agriculture and Medical Field

Achieving a 3th prize in a city-level competition in buidling a platform with AI features that is useful for people and business

Team Lead

Classification and Detection Dragon Fruit Diseases: Finding locations having various source of dragon fruit diseases and collect images from these infected samples to help the diversity of dataset allowing models to predict more accuracy. Labelling each collected images from robortflow and prepare data with preprocessing steps and augmentation strategies such as filter, rotation, colour jitter. Evaluating preprocessed dataset and choosing suitable models for training and embedding on devices having affordable and user friendly

Embedding weights into IoT devices and some platforms such as web and app for farmers and testing about 1 month to adjust and improve model.

Publishing successfully a paper on Tien Giang Journal about agriculture and helping a lot of farmers to early avoiding diseases.

4/2025 - 6/2025

Tiền Giang City

Team Lead

Wifi signal and Depth image model for classification human activities: Developed a deep learning system combining WiFi Channel State Information (CSI) and depth images for 27-class activity classification.

Designed a dual-branch architecture: CNN-LSTM for CSI signals and MobileNetV3 for depth images with feature-level fusion.

Applied signal preprocessing techniques: phase sanitization, normalization, and depth image enhancement.

Deployed the model in a real-time IoT devices using PyTorch .pth weights; evaluated prediction latency. 1/2025 - 4/2025

Hồ Chí Minh Cỉty

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