Hello, I'm Chaidar
Physics graduate from Surabaya State University with a focus on backend development and spatial data for disaster mitigation. Skilled in Node.js, TypeScript, Docker, and Redis. Currently building AI-based earthquake evacuation systems using PyTorch and ONNX.
Adaptive Disaster Analytics (ADA) Framework is a multi-hazard disaster analytics platform for institutions. Provides dynamic evacuation routing and hazard assessment powered by Reinforcement Learning and K-Nearest Neighbors. Integrated with ShakeMap, flood inundation maps, OSRM routing engine, and Redis caching. Supports multi-user, multi-organization with role-based quota system.
Android application for disaster mitigation. Developed with Kotlin and Jetpack Compose as part of Bangkit Academy Capstone Project (led by Google). Focused on disaster education and awareness.
Invitation Management Information System (SIMAD) for local government. Features JWT-based authentication, OTP login, role-based dashboards, PDF/Excel export, and Dockerized deployment with NGINX reverse proxy.
I'm Chaidar, a backend developer and Physics student based in Madiun, Indonesia. My journey began with electronics and geophysics, but I quickly found my passion in building scalable web services and automation tools for disaster mitigation.
I specialize in Node.js, Redis, Docker, and ONNX/TFJS-based AI inference. I've developed government-level systems and led backend for AI-based evacuation projects that integrate real-time geospatial data and machine learning. I'm also comfortable working remotely and independently with modern DevOps tools.
When I'm not coding, I enjoy experimenting with ESP32 or writing about disaster tech. Let's connect and collaborate on something impactful.
"Technology is not just about code — it's about solving real-world problems."
Have an interesting project or just want to connect? Drop me an email — I'd love to hear from you.