Surafeal A.

Key Skills

Software

OpenCV AI Kit (OAK)

Other

CVAT

Roboflow

LabelImg

Top Subject Matter

Technology - Software Development & Coding

Technology - Artificial Intelligence & Machine Learning.

Top Data Types

Image

Top Task Types

Classification

Routing

Freelancer Overview

I have experience working on AI-related academic and research projects focused on computer vision, image classification, and smart agriculture systems. During my master’s studies and research work in China, I participated in projects involving food image classification, data processing, image annotation, and deep learning model development using Python, TensorFlow, PyTorch, and OpenCV. I also worked on AI-based food quality monitoring research and contributed to published research papers related to intelligent systems and image analysis. My background has helped me develop strong attention to detail, analytical thinking, and the ability to work carefully with large datasets and technical tasks. In addition to my technical skills, I am comfortable working independently in remote environments, following detailed guidelines, and communicating effectively in English. I am eager to continue learning and contributing to AI training and data labeling projects.

Labeling Experience

Research Assistant — applying AI/computer vision to food quality detection and intelligent food monitoring (BCNN/image recognition)

ImageClassification

Worked on AI computer-vision research focused on food image quality monitoring and recognition. Built and tuned models to improve fine-grained food image classification performance using labeled datasets (e.g., Food-101). Designed and ran experiments that rely on supervised image learning workflows for training and evaluation. • Developed a Bilinear Convolutional Neural Network (BCNN) for fine-grained food image recognition. • Implemented multi-scale feature fusion using the Food-101 dataset (19,609 images). • Conducted experiments for deep-learning-based image recognition for intelligent food monitoring systems. • Improved accuracy through advanced model tuning and visualization.

2023 - Present

Assistant Researcher — IoT-based Intelligent Irrigation System (LoRa/Arduino embedded development)

ImageRouting

Contributed to an IoT-based smart irrigation project that supports field operation and data-driven control. While not explicitly framed as manual annotation work, the role involved designing and testing a remote-controlled system that would typically require collecting and structuring sensor/operational data for downstream evaluation. • Participated in design and testing of a low-power remote-controlled irrigation system. • Focused on LoRa communication and embedded development for field data connectivity. • Supported system evaluation and publication of project results in a conference proceeding. • Worked on components that enable data acquisition and monitoring for smart irrigation workflows.

2020 - 2021

Education

Work History