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Developed a web-based Learning Management System (LMS) for a preschool using React (Vite) and a self-hosted Supabase backend. The system was designed to digitalize the school’s workflow, transforming traditional paper-based processes into an integrated digital platform. Key features include attendance tracking, announcements, report management, and user role management. I also handled the deployment and maintenance of the system using Docker on a self-hosted infrastructure, ensuring reliability, scalability, and consistent system performance.

I designed and managed a hybrid cloud environment combining on-premise servers with Oracle Cloud VPS to create a flexible and scalable infrastructure. I established secure private networking between nodes using WireGuard VPN, enabling safe and efficient communication across the system. I deployed and managed containerized applications using Docker and Podman, and configured Nginx as a reverse proxy to handle secure public access and domain routing. Additionally, I implemented centralized storage using TrueNAS with RAIDZ1, utilizing NFS and SAMBA for file sharing. To ensure secure connections, I automated SSL certificate renewal using Certbot and cron jobs. I also built a self-hosted Platform-as-a-Service (PaaS) using Coolify for streamlined application deployment, and deployed production-ready applications using Next.js, FastAPI, and PostgreSQL.

I developed a CNN-based image classification model using PyTorch to accurately identify marine fish species from images. To make the model accessible, I built a Streamlit web application that allows users to upload images and receive top-k predictions with confidence scores. I also implemented data preprocessing pipelines and evaluation metrics to optimize model performance and ensure reliable predictions.