Naufal Syawali

As a Biomedical AI Engineer, I established a partnership with Yunlin University for a project on machine learning brain microbleeds. I preprocessed 3D medical imaging datasets and developed models for classification and segmentation using advanced machine learning techniques.

Established a shrimp export company by integrating data-driven market research into operations. Conducted market research to engage international buyers and designed the company website using WordPress with SEO strategies.

Led research consortiums and secured significant grants while developing financial models and legal documentation to support the commercialization of aquaculture solutions. Managed a multidisciplinary team to align research efforts with business objectives.

Developed AI-based solutions for aquaculture, including a bacteria counter for water quality monitoring and OCR implementations for data automation in shrimp farming. Focused on translating research findings into operational applications.

Developed an image detection system for identifying cattle ID tags using computer vision techniques. Tutored students in Python for data analytics and machine learning, bridging academic theory with practical applications.

Focused on AI research and engineering, contributing to various projects including OCR implementation for shrimp farming data recap and developing machine learning solutions.

Developed AI-based solutions like Bacteria / Vibrio Counter for water quality monitoring in shrimp pond activity and implemented machine learning APIs to translate research findings into operational applications.