
Thảo Lê
@thol1
I label and validate computer vision data for high-quality object detection models.
What I'm looking for
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
Data Labeling Contributor
FPT Telecom
Nov 2025 - Mar 2026 (4 months)
Collected and reviewed raw images of PoP cabinets, and learned about FTEL's network architecture and service offerings. Utilized tools such as fusion splicers, OTDRs, and power meters.
Education
Degrees, certifications, and relevant coursework
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
Availability
Location
Authorized to work in
Job categories
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