I studied Instrumentation Physics at UNNES (GPA 3.59) and spent most of my time building things that involved sensors, data, and eventually machine learning.

At BRIN I worked on a computer vision project using YOLO11 to detect fungal infections on leaves. We got to 89.6% precision, which I'm pretty happy with. Before that, I did a virtual internship at Kimia Farma where I built sales analytics dashboards using BigQuery and Looker Studio.

These days I'm also writing C# and contributing to open source .NET projects. It started as something new to learn and now I actually enjoy it.

• 📍 Bekasi, Indonesia
• 🎓 Fresh graduate, open to full-time roles
• 📜 Google Data Analytics Professional Certificate (2026)
• 🏆 Finalist at IARC 2025 (ITS) for industrial automation

Data and ML

Software development

Computer vision

• YOLO Fungal Detection (BRIN): Built an instance segmentation pipeline to detect Curvularia leaf disease. Used YOLO11 and Roboflow for annotation, achieving 89.6% precision and a 0.807 mAP50.
• Cyclistic Bike-Share Analysis: Google Data Analytics capstone project. Cleaned and analyzed millions of trip records in BigQuery, then visualized the insights through interactive dashboards in Power BI and Tableau.
• LSPR Ethanol Sensor: Processed optical fiber sensor data by configuring Neural Networks (LSTM) to capture sequence patterns in stability tests. This optimization brought the MAPE down to 0.60% for halal product quality control.
• Physics Scientific Calculator: Desktop app built with C# (.NET 10, WinForms) for physics computations. It features a custom constant system where users can define and save their own physical constants.