Edgar Rafael Jr.

My goal is to create systems where performance comes naturally from good design and structure. I strive to create solutions that are simple, stable, and scalable. I also delve around training AI/ML models, building a foundation that helps me understand how such systems work and where automation can add value. 𝐀𝐥𝐰𝐚𝐲𝐬 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠. 𝐀𝐥𝐰𝐚𝐲𝐬 𝐭𝐢𝐧𝐤𝐞𝐫𝐢𝐧𝐠.

Computer Science student specializing in full-stack development with Next.js, TypeScript, and Python. Developed an ML-powered e-waste classifier, achieving a highest model accuracy of 91.1% and a 93.22% application overall quality score across five ISO/IEC 25010:2011 subscales during field evaluation.

4th Year BSCSSE Student | FEU Institute of Technology