Tran D.
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Trần D. is a computer science student with a focus on Artificial Intelligence (AI), data analysis, and software application development. He is currently pursuing his degree at Ho Chi Minh City Open University, maintaining a strong academic record with a recent GPA of 3.82/4.0. His studies include advanced coursework in object-oriented programming, data structures and algorithms, AI, computer vision, and data mining. Trần has contributed to several impactful projects, such as developing a deep learning model combining multi-segment State Space and gated CNN for medical image classification, successfully improving diagnosis accuracy from Chest X-ray images. He has also built a pneumonia classification system using DNN and fine-tuned models like DenseNet and ResNet, achieving high performance in healthcare diagnostics. Trần is proficient in Python, TensorFlow, Keras, and OpenCV, with practical experience in creating real-time facial recognition systems and management applications using technologies like .NET Framework and C#. His projects consistently demonstrate the integration of accurate, efficient data processing, and AI solutions.
Experience
Software Developer
null · — — 2026Developed a multi-segment State Space model integrated with Gated CNN for the classification of medical images. The project aimed to accurately identify pathological features in chest X-ray images and establish a reliable labeling process.Machine Learning Engineer
null · — — 2025Constructed an image processing pipeline for medical data from Chest X-rays, trained a binary classification model using TensorFlow and Keras. Compared the performance of a custom CNN model with pre-trained models like DenseNet and ResNet, applying fine-tuning for optimal results.Software Developer
null · — — 2025Designed an automated face recognition attendance system for educational environments, replacing manual attendance processes. Utilized Python, PyQt5, OpenCV, face_recognition, MediaPipe, and NumPy for system features including multiple face recognition and automated attendance logging.Software Developer
null · — — 2025Developed a real-time face detection system capable of simultaneous processing of multiple faces. Employed technologies like Python, OpenCV, and the Face Recognition Library to build a user-friendly interface that stores and retrieves face embeddings.Software Developer
null · — — 2024Created a multifunctional sales management system for a coffee shop, addressing needs for POS functionality, inventory management, staff authorization, and revenue reporting. Leveraged C# on .NET Framework, Windows Forms, and ADO.NET, utilizing SQL Server for database connectivity.
Skills & Expertise
Education
- Bachelor in Computer ScienceTrường Đại học Mở TP.HCM · 2022 — Present