Andrian Ardiansyah

Key Skills

Software

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Polygon

Segmentation

Freelancer Overview

I am an informatics engineering graduate with hands-on experience in data labeling, annotation, and AI training data preparation, especially for computer vision projects. My work includes annotating thousands of images for smart cashier and agricultural disease detection systems, ensuring high-quality datasets for robust model training using Python and YOLO. I am skilled in data preprocessing, cleaning, and evaluation, and have used tools like Roboflow to streamline annotation workflows. My background also covers web development and database management, which helps me understand end-to-end AI solutions. I am detail-oriented, reliable, and passionate about contributing to impactful AI-driven projects.

Labeling Experience

Chili Plant Disease & NPK Deficiency Dataset

RoboflowImagePolygonSegmentation

"Managed the data annotation workflow for a Chili Plant Health Analysis project. The scope involved training an AI model to differentiate between infectious diseases and abiotic stresses (NPK nutrient deficiencies). I performed granular data labeling on leaf imagery, ensuring a clear distinction between similar visual symptoms—such as yellowing caused by viruses versus nitrogen deficiency. High-quality consistency was maintained to minimize false classifications and ensure the model's reliability in field diagnostics."

"Managed the data annotation workflow for a Chili Plant Health Analysis project. The scope involved training an AI model to differentiate between infectious diseases and abiotic stresses (NPK nutrient deficiencies). I performed granular data labeling on leaf imagery, ensuring a clear distinction between similar visual symptoms—such as yellowing caused by viruses versus nitrogen deficiency. High-quality consistency was maintained to minimize false classifications and ensure the model's reliability in field diagnostics."

2025

disease detection in rice plants

RoboflowImageBounding BoxPolygon

"Led the data annotation initiative for Padi Guard, a mobile AI application designed to detect rice plant diseases and provide treatment solutions. The scope involved curating a comprehensive dataset of rice leaf imagery. I performed precise Bounding Box labeling to identify specific disease symptoms versus healthy tissue. I adhered to strict quality control measures to ensure high-accuracy ground truth data, which was critical for training the model to provide reliable diagnoses for farmers."

"Led the data annotation initiative for Padi Guard, a mobile AI application designed to detect rice plant diseases and provide treatment solutions. The scope involved curating a comprehensive dataset of rice leaf imagery. I performed precise Bounding Box labeling to identify specific disease symptoms versus healthy tissue. I adhered to strict quality control measures to ensure high-accuracy ground truth data, which was critical for training the model to provide reliable diagnoses for farmers."

2025 - 2025

Education

Work History