Responsibility:• Led and directed team efforts in developing multiple AI projects• Supervised and provided technical leadership in the design and development of AI project systemsProjects:• Developed Chatbot application using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) (2023–2024).• Analyzed and built dashboards for geospatial and numerical data (2024).• Implemented CCTV Auto Monitoring & Reporting Systems using Visual Language Models (VLM) (2024)

• Carried out research on Hadoop Big Data Platform utilizing Ambari (2020).• Analyzed data for PLN’s subscriber payment behaviors, employing Python and JavaScript for visualization (2020).• Performed data science and machine learning research on clustering Stroomnetz’s subscriber segmentation based on packages, bills, and payments, with visualizations in Python and JavaScript (2020).• Developed a machine learning-based proctoring system using facial recognition through webcam, leveraging Python (OpenCV, Scikit-Learn) (2020).• Engineered an ETL process to collect data from various sources using Python (2021).• Executed data analytics on PLN’s customer data using Python (2021).• Researched and developed a chatbot leveraging NLP and TF-IDF algorithms (2021).• Conducted big data and machine learning research on rating scoring for PLN’s subscribers, utilizing WMA and Fuzzy Logic (2021).• Applied regression techniques for predicting PLN customers’ energy consumption (kWh) using a Multi-Layer Perceptron Regressor Algorithm (2022).• Implemented classification computer vision using deep learning, with a case study on product recognition via the Multi-Layer Perceptron Classifier Algorithm (2022).• Executed clustering and segmentation analysis for Iconnet subscribers using the KNN algorithm (2023).• Developed ETL processes and built dashboards for monitoring Iconnet Subscriber Activation, Revenue, and Troubleshooting using Python (2023)

• Gathered business requirements, analyzed, designed, and led development teams in implementing the Project Monitoring System for PT Indonesia Power (2019).• Analyzed, designed, and led development teams in the implementation of the iTransport Web & Mobile Apps for internal company transportation (2019-2020).• Gathered and analyzed business processes for the eCommerce application for PT Cogindo Daya Bersama (2019).• Gathered requirements, analyzed, and designed the eBalita/ePosyandu Web & Mobile Apps (2020).

• Conducted big data analytics, analyzing Deep Packet Inspection (DPI) for Ubiqu customers using Python, Spark, and Cassandra DB (2018-2019).• Analyzed and developed machine learning models based on Ubiqu customers behavior (2018-2019).

• Designed and developed the Prepaid & Postpaid Rating Engine for BYRU - PASTI New Tariff 2015 for Roaming Inmarsat Satellite using Oracle PL/SQL (2015).• Analyzed and designed ABI (Analysis Base Intelligence) for AIS Vessel Monitoring System using PHP and Oracle PL/SQL (2015).• Maintained the Rating Tariff and Interconnection System for Garuda Satellite using Oracle PL/SQL (2012-2019).• Analyzed, designed, and developed the Rating Tariff and Quota Management System for PSN VI and Interim Satellite using Oracle PL/SQL (2014-2019).• Analyzed and designed a Web-based Budget Monitoring System using PHP and Oracle DB (2012).• Analyzed and designed the Web-based Information System for “Rencana Keuangan dan Anggaran Perusahaan (RKAP)” at PTPN 5 using PHP and MySQL DB (2013).• Developed a Network Monitoring System for Broadband Internet Services (2015).• Conducted research on new business opportunities for PSN Internet Broadband Services (2015).• Analyzed and developed the CBOSS Budget Monitoring System (2016).