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Delivered technical expertise in AI and software engineering to support 5+ research and tender proposals, helping unlock business and research opportunities. Produced 10+ presentation materials and maintained the BRAIN IPB website to ensure consistent performance and up-to-date content delivery.

Contributed to software cost estimation for 7 large-scale systems used by Komdigi and Pertamina to support strategic planning and budgeting. Designed and developed 20+ lecture and practicum modules across 10+ courses, and managed academic scheduling for hundreds of students.

Designed scalable system architecture (database schema, class diagrams, domain logic) for a hybrid web and PWA platform supporting sustainable supply chain monitoring and sugarcane yield prediction. Deployed in an ISO/IEC compliance context and validated via UAT with ~25 users (4.4/5 satisfaction).

Developed and managed the official APFITA 2025 web platform, delivering schedules, programs, and ongoing content updates. Supported international traffic performance across ~10 countries, driving 50,000+ visits during the event period.

Coordinated venue setup and logistics for public lectures and workshops with 200+ attendees to ensure smooth on-site operations. Collaborated with a 25-member team to resolve real-time issues and keep schedules on track through last-minute adjustments.

Designed system architecture for an ASEAN-scale knowledge management system, including database schema and class diagrams for structured, scalable development. Bridged technical implementation with mangrove ecosystem domain requirements and validated usability through UAT across 5 countries (~10 users, 4.3/5 satisfaction).

Built an end-to-end machine learning system for high-dimensional tabular sensor data (~18,000+ features) and achieved up to 99.2% prediction accuracy using regression models. Implemented a Flask-based API to automate data ingestion and real-time prediction using custom preprocessing and transformation logic (500+ lines).

Grade: 3.68/4.00

Bachelor-level study focused on artificial intelligence and software engineering, with training in system and design thinking. Achieved a GPA of 3.68/4.00.

Completed a Complete Machine Learning & Data Science Bootcamp in 2023.