Key Skills

Software

Google Cloud Vertex AI

Labelbox

Label Studio

Roboflow

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Task Types

Bounding Box

Classification

Diagnosis

Object Detection

Segmentation

Freelancer Overview

As an Electronic Engineering graduate with practical experience in machine learning, computer vision, and IoT-based automation systems, I am passionate about applying intelligent technologies to improve efficiency, reliability, and sustainability in industrial operations. During my role as an R&D Palm Oil Machine Learning Engineer at Nilai Hasil Sdn. Bhd., I led the design and implementation of AI-driven systems that automated disease detection and predictive maintenance for plantation machinery. This experience strengthened my ability to integrate sensors, embedded hardware, and data analytics into practical field solutions. It also allowed me to work closely with cross-functional teams to ensure accurate data interpretation and efficient system deployment across multiple sites. Previously, as an Automation Intern at Texas Instruments, I contributed to the development of a real-time vision-based defect detection system for wafer inspection. The project involved optimizing data pipelines, calibrating sensors, and validating system performance under diverse operational conditions. These experiences deepened my understanding of semiconductor processes and industrial automation standards, both of which are directly relevant to modern manufacturing and data-driven environments. I am confident that my technical foundation in embedded systems, Io

Labeling Experience

Education

Work History