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T
Thiện V.

Thiện V.

Role: Image labeling and training support for a traffic sign recognition system (FPGA-based YOLOv3-Tiny)

Vietnam flagThu Dau Mot, Vietnam

Key Skills

Software

Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelImgLabelImg
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI
SuperviselySupervisely
RoboflowRoboflow

Top Subject Matter

Traffic sign recognition for object detection (YOLOv
Tiny) Domain Expertise

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
ImageImage

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Fine-tuningFine-tuning
Object DetectionObject Detection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Bounding BoxBounding Box
RLHFRLHF
ClassificationClassification
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Role: Image labeling and training support for a traffic sign recognition system (FPGA-based YOLOv3-Tiny). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LabelImg, Supervisely, and Roboflow. Education includes Bachelor's Degree, University of Information Technology (2024) and Bachelor's Degree, N/A (2026). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

Scale AI

Train AI for model for coding

Scale AIScale AIComputer Code ProgrammingComputer Code ProgrammingComputer Programming/CodingComputer Programming/Coding

I am a reviewer evaluating prompts and responses. The prompts are written based on four categories, and the responses follow a specified format.

2024 - 2024
LabelImg

Role: Image labeling and training support for a traffic sign recognition system (FPGA-based YOLOv3-Tiny)

LabelImgLabelImgImageImageObject DetectionObject Detection

You labeled images for a traffic sign recognition dataset and supported YOLOv3-Tiny model training. You annotated multiple traffic sign categories with precise bounding boxes and verified class identification. You contributed to dataset preparation by managing storage and improving consistency across annotations.• Labeled 44 traffic sign classes across three groups: prohibition, warning, and guide signs. • Annotated nearly 10,000 images with accurate bounding boxes and class IDs. • Used LabelImg and Supervisely to perform image annotation. • Collaborated with an ML team to optimize annotation quality and consistency.

2023 - 2024

Education

N

N/A

Bachelor's Degree, Computer Engineering

Bachelor's Degree
2024 - 2026
U

University of Information Technology

Bachelor's Degree, Computer Engineering

Bachelor's Degree
2020 - 2024

Work History

F

FPT Software

Software Engineer

Thu Dau Mot
2024 - Present
F

FPT software

Fresher embedded

Ho Chi Minh
2024 - 2024