Open to opportunities

Đức Minh Lê

@cminhl

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Computer Science student focused on building production-ready AI and MLOps solutions.

Vietnam

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What I'm looking for

I am looking for an entry-level ML/AI engineering role where I can build and deploy production-ready models, work with MLOps practices, and join a collaborative team focused on measurable impact.

I am a Computer Science student skilled in applied machine learning and computer vision, with hands-on experience delivering production-ready AI services. I specialize in building end-to-end systems using PyTorch, FastAPI, Docker, and MLOps tooling to ensure reliable deployment and monitoring.

My projects include a YOLOv8-based helmet detection system (mAP@0.5 93.9%), a LightGBM transaction fraud detector (AUC 0.975, F1 84.7%), and an image captioning model using EfficientNet and Transformer decoders. I emphasize experiment tracking, inference optimization (ONNX Runtime), and containerized deployment plus observability with Prometheus and Grafana.

I seek to apply my practical ML engineering skills to build scalable, monitored AI products and to grow within teams that value reproducible ML workflows, robust deployment, and measurable impact.

Experience

Work history, roles, and key accomplishments

AI Engineer Intern

Le Duc Minh

Developed and deployed computer vision and ML services, including a YOLOv8 helmet detection system (mAP@0.5 93.9%) and a LightGBM fraud detector (AUC 0.975), optimizing inference and containerization for production monitoring.

Python PyTorch fastAPI Docker YOLOv8 LightGBM ONNX Runtime Prometheus Grafana

Education

Degrees, certifications, and relevant coursework

National Economics University

Bachelor of Computer Science, Computer Science

2022 -

Grade: 3.51/4.0

Activities and societies: Academic Encouragement Scholarship (Semester 2, AY 2023-2024); relevant projects: Helmet Detection System, Transaction Fraud Detection, Image Captioning System.

Pursuing a Bachelor of Computer Science with coursework and projects focused on machine learning, computer vision, and deployment of AI services; maintained a GPA of 3.51/4.0.