Computer Vision, Edge AI Embedded

LE DINH HOANG VU

Ho Chi Minh City, Vietnam +84-826-***-*** *************@*****.*** GitHub / Portfolio LinkedIn SUMMARY

Computer Science student specializing in Computer Vision with project experience in YOLOv8 inference, PyTorch medical-image research, and image-processing pipelines. Built AI services that connect model outputs to usable agriculture and research workflows. PROJECT & RESEARCH EXPERIENCE

CropVision AI - Crop Disease Detection Platform (Repository) Ho Chi Minh City, Vietnam Graduation Project, In Progress - AI platform for crop disease detection and scan management. May 2026

- Present

• Built a YOLOv8 inference service in FastAPI with image validation, bounding boxes, and confidence scores, enabling authenticated crop disease scans.

• Integrated Express.js, JWT, PostgreSQL, and physical image persistence to support scan history and model-result delivery.

• Validated prediction and upload paths with pytest, including file-type and upload-size checks. WSL-DR - Weakly Supervised Diabetic Retinopathy Grading (Repository) Ho Chi Minh, Vietnam Independent research implementation using lesion-aware prompts from image-level labels.Oct 2025 - Dec 2025

• Implemented 5-class grading in PyTorch with EfficientNet-B0 attention, a Swin Transformer backbone, and PRCF feature fusion.

• Developed Grad-CAM lesion-attention maps and interpretability outputs without pixel-level lesion annotations.

• Evaluated model checkpoints with Quadratic Weighted Kappa; the repository records validation QWK 0.6942.

EDUCATION

University of Science, VNU-HCM Ho Chi Minh City, Vietnam Bachelor of Science in Computer Science, Specialization in Computer Vision Sep 2022 - Jun 2026

(Expected)

GPA: 3.1/4.0

TOEIC: 650 LR – 290 SW

PUBLICATIONS

Nguyen Trung Kien, Le Dinh Hoang Vu, Vo Hoai Viet. "Detection of Common Crop Leaf Diseases in Vietnam Using an Explainable YOLO Architecture." Vietnam Journal of Science and Technology, Series B. Published Jan 2026. DOI: 10.31276/VJST.2025.3727 ADDITIONAL INFORMATION

Languages: Python, C/C++, JavaScript/TypeScript

Technologies: PyTorch, OpenCV, YOLOv8, FastAPI, NumPy, scikit-learn, Grad-CAM, Docker, Git, Jupiter

Language Skill: Reading English Document influent

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