• Improved the accuracy of demand forecasting models for Kalbe’s unit products by 2-5% through hyperparameter tuning, feature engineering, and reducing Mean Absolute Percentage Error (MAPE).• Developed an automated gene validation report using the PubMed API to validate gene names from the paper extractor table.• Implemented business-critical machine learning models to address operational challenges, including moderating the temperature of sealing machines within subsidiary factions of… Show more • Improved the accuracy of demand forecasting models for Kalbe’s unit products by 2-5% through hyperparameter tuning, feature engineering, and reducing Mean Absolute Percentage Error (MAPE).• Developed an automated gene validation report using the PubMed API to validate gene names from the paper extractor table.• Implemented business-critical machine learning models to address operational challenges, including moderating the temperature of sealing machines within subsidiary factions of the company.• Performed data cleaning and preprocessing to ensure high-quality and accurate datasets for AI model development.• Broadened my knowledge and acquired proficiency in large language models (LLMs) and computer vision by learning and applying various techniques, libraries, and frameworks during my internship. Show less

Researching hand rehabilitation of stroke patients through VR and AR technology.• VR-based video on YouTube to help hand rehabilitation for stroke patients.• Google Cardboard testing for rehabilitation experiment.• Made VR application with Android Studio using Kotlin programming language and it's animation with Unity.

• Guiding students in implementing basic science practicums.• Grading students' practicum outcomes

• Guiding students in implementing electric circuit practicums.• Grading students' practicum outcomes and their final practicum exam.