Professional Overview
Computer Engineering graduate from Telkom University with a strong interest in Artificial Intelligence, Machine Learning, and Computer Vision. Experienced in developing machine learning models using Python, Scikit-learn, TensorFlow, and PyTorch. Built an MBTI personality classification model achieving 93.76% accuracy using Random Forest, XGBoost, and Gradient Boosting. Also developed a custom YOLOv8 object detection system optimized with NCNN and deployed on Raspberry Pi for a smart cane project. Experienced in data preprocessing, model evaluation, optimization, and practical ML deployment. Eager to contribute to real-world AI solutions and grow as an AI/ML Engineer or Data Scientist.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
