Muhammad Naufal Aqil

Processed and analyzed large-scale 2D, 3D, and 4D LiDAR point cloud datasets for Xiaomi's autonomous driving project, ensuring high-fidelity data quality. Successfully passed performance probation by exceeding daily data processing and quality control targets.

Mastered Machine Learning and Deep Learning workflows using Python for complex dataset analysis. Collaborated in teams to implement predictive modeling solutions for real-world case studies.

Developed a medical image classification system for cataract detection using Deep Learning. Managed the full data pipeline, including image preprocessing, feature extraction, and model evaluation.

Managed and validated daily manufacturing quality datasets using Microsoft Excel to track and report production trends.

Pursuing a degree in Medical Informatics with a focus on Healthcare Data Management and AI for Medical Diagnosis.