Hi, I'm
Aditya.

An interactive full-stack dashboard for Segment Anything Model 3 (SAM3), providing a complete pipeline for image segmentation, model fine-tuning, data labeling, and performance evaluation on geospatial/satellite imagery.

A comprehensive Next.js application designed to visualize geospatial data related to fertilizer distribution and requirements. It serves as a powerful dashboard for monitoring and analyzing data across different administrative levels (Province, Regency, District) in Indonesia.

A production-grade, standardized backend service combining Geospatial Dashboarding and Identity and Access Management (IAM). Built with Go (Fiber v3) and Clean Architecture principles, this service is designed for high performance, scalability, and maintainability.

Predicted crop yield using satellite imagery (Sentinel-2) and ground truth data. Applied classical ML models (RF, XGBoost, LightGBM) and deep learning models (LSTM, GRU) with transfer learning.