A complete archive of professional work experience, internships, and academic roles.
Selected as 1 of 100 learners from 13,000+ national applicants (<1% acceptance) to design and ship native iOS apps. Spearheaded RONA, an on-device AI acne recovery assistant utilizing a quantized CoreML model (9.3 MB) trained on 14,600+ clinical images.
Engineered data-driven predictive ML load capacity modules and medical warning systems for commercial maritime vessel crews. Built scalable backend REST services with Flask, managed PostgreSQL schemas, and developed interactive React.js operational dashboards.
Served as Data specialist in an international precision agriculture modernization initiative in collaboration with Telkom Corpu. Conducted field observations, authored formal SKPL specifications, and designed the Greenhouse Decision Support System (DSS) with IoT telemetry integration.
Selected as 1 of 500 mentees from 12,176 national applicants (~4.1% acceptance rate). Awarded #1 Best Project Team out of 100+ multidisciplinary teams nationwide, evaluated directly by the CDIO of TelkomGroup.
Mentored 50+ students in Basic AI (Python, NumPy, Pandas, Matplotlib, Seaborn) and coordinated 20+ assistants for 200+ students in Algorithm Programming. Previously mentored C++ Data Structures and Golang Programming courses.
Mentored 2 study groups (10 freshmen total) through a 5-week intensive program in Golang fundamentals — loops, conditionals, functions, and arrays — preparing all students for their midterm exams.
Developed mobile application prototypes using Flutter, covering UI slicing, widget lifecycle management, REST API integration, and Firebase authentication.