Specializing in creating robust and scalable backend solutions with a strong focus on problem solving and innovation.
Creating powerful websites that strengthen your brand while ensuring:
Delivering high-quality web solutions
Building robust and scalable server-side applications with modern technologies.
Creating efficient and optimized database structures for your applications.
Designing and implementing RESTful APIs for seamless integration.
My development process is structured to deliver high-quality results
Comprehensive website planning and requirement analysis to ensure perfect alignment with your goals.
Writing clean, efficient, and maintainable code while following best practices.
Careful deployment and thorough testing to ensure everything works perfectly.
Some of my recent works that showcase my development expertise
As part of the development of a Plantation ERP system, I designed and implemented a scalable and secure Golang-based Backend API architecture to optimize the entire agricultural operational lifecycle. Leveraging Go's high performance and advanced concurrency capabilities, this API serves as a robust backbone integrating various crucial modules—ranging from harvest data management, inventory tracking, and field worker administration, to real-time financial reporting. With a strong focus on data processing efficiency and seamless synchronization between mobile field applications and the central management dashboard, this backend solution successfully ensures transparent operational visibility and empowers accurate, data-driven decision-making.
This web-based Hospital Management Information System (HMIS) automates and integrates hospital workflows—including patient registration, EMR, pharmacy, and billing—to boost efficiency, minimize human errors, and streamline real-time healthcare management
Discover our latest thoughts and technical insights
Mengupas strategi perancangan arsitektur perangkat lunak HealthTech berbasis UU PDP: cara melatih model AI medis cerdas tanpa pernah memusatkan data sensitif pasien ke server pusat.
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Model AI klinis yang canggih tidak berguna jika data pipeline di fasilitas kesehatan rapuh atau terfragmentasi. Kunci sukses aplikasi AI health tech di ekosistem Indonesia—yang kini dipacu oleh standar SATUSEHAT dan BPJS Kesehatan—bukanlah pada algoritma itu sendiri, melainkan pada arsitektur backend: kemampuan menyatukan rekam medis terisolasi melalui standar interoperabilitas modern, orkestrasi data asinkron, serta API terstandardisasi yang menghubungkan Sistem Informasi Manajemen Rumah Sakit (SIMRS) lama dengan microservice AI secara aman, efisien, dan patuh terhadap privasi data pasien.
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