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Thảo LêTL
Open to opportunities

Thảo

@thol1

I label and validate computer vision data for high-quality object detection models.

Vietnam
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What I'm looking for

I'm looking for opportunities to contribute accurate data annotation, validation, and computer vision model-training skills, while growing through hands-on work with object detection, data quality, and telecommunications systems.

I've labeled approximately 1,400 images across 17 classes for equipment detection in POP station cabinets, addressing imbalanced data and training a YOLO11 model with Precision, Recall, F1-Score, and mAP exceeding 90%.

I'm pursuing a B.S. in Electronics and Telecommunications at the University of Science and apply data annotation, image validation, Roboflow, Google Colab, and Python/Pandas to computer vision projects. I also trained a YOLOv8 hard-hat detection model using an open-source baseline and additional construction-site images collected in Vietnam.

At FPT Telecom, I reviewed raw POP cabinet images and learned telecommunications network architecture, while my audio and vision work has built hands-on experience operating and maintaining technical equipment. I'm focused on producing accurate, validated training data for object detection.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Science - Vietnam National University logoUU

University of Science - Vietnam National University

Bachelor of Science, Electronics and Telecommunications Engineering

2022 -

Grade: 3.5/4

Pursuing a Bachelor of Science in Electronics and Telecommunications Engineering, with a strong focus on telecommunications and computer vision.

Tech stack

Software and tools used professionally

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