About Me
Hi! I'm Fad, a passionate Software Engineer from Indonesia with 4+ years of experience turning problems into digital solutions—always with an eye for great visuals.
I specialize in both backend and frontend development using Java, Kotlin, PHP, ASP.NET, JavaScript/TypeScript, Docker, Redis, RabbitMQ.
I've built applications with CodeIgniter, Laravel, Spring Boot, AngularJS & Next.js; my database skills cover MySQL, Oracle, PostgreSQL & MongoDB.
Always eager to learn new tech stacks to stay ahead in the industry!
Outside coding: I love running 🏃♂️ , films 🎬 , and coffee ☕. If you’ve made it this far, I’m pretty sure we’re destined to build something awesome together someday!
I'm open to freelance or part-time opportunities—got a project? Reach out and let's build magic!
Skill Sets
Experience
Backend Develper, Full-Time, On-Site
Work as part of the operations team for a clinic management system microservices, troubleshooting and resolving issues. Turn problems into comprehensive solutions that align with business needs.
System Analyst, Full-Time, Hybrid
Led execution of a CRM & Billing System for an Indonesian gas company, delivering two phases over 2 years. Owned Account Management module development with integration across multiple modules. Designed scalable solutions with optimized data models and views. Bridged business and technical teams using UML diagrams and Figma, achieving 100% stakeholder alignment.
Backend Developer, Full-Time, Hybrid
Developed a comprehensive user management module with advanced filtering, privileges, and authentication using Java Spring Boot & Oracle. Created modular services and reusable components that reduced future development cycles by 40% while ensuring security and performance.
Full-Stack Developer, Internship, Hybrid
As a Full Stack Developer internship at an insurance company, I fixed bugs and developed features for monitoring systems using Spring Boot and Angular. Created parameterized agents for HTTP, database, and hardware monitoring while optimizing performance by reducing data load time by 77.5% (80s to 18s). Prepared production deployment documentation with Linux/SQL scripts and implemented Scrum methodologies.