🚀 Backend Developer | Building Fast, Stable & Secure Systems
Hello! I’m Rizqi Mulki, a Backend Developer who thrives on crafting high-performance software that doesn’t just function—it excels. My mission? To engineer solutions where speed, stability, and security are non-negotiable, because in today’s digital landscape, cutting corners isn’t an option.
With deep expertise in PHP, Python, and Node.js, I design scalable backends that handle heavy traffic seamlessly. My database skills span MariaDB, MySQL, and PostgreSQL, ensuring data is not just stored but optimized for peak efficiency. On the infrastructure side, I’m at home in Linux environments and cloud platforms like AWS & GCP, deploying resilient systems with precision.
Beyond code, I believe in sharing knowledge and growing together. I hope this website serves as both a showcase of my work and a resource for fellow developers. Whether it’s refining APIs, optimizing queries, or hardening systems against threats, I’m passionate about writing clean, maintainable code that stands the test of time.
Let’s build something remarkable—fast, stable, and secure.
rizqimulkisrc@gmail.com | +628526865056
Latest Post
Introduction Building a complete LLM training pipeline from scratch represents one of the most challenging…
Read MoreIntroduction The transition from experimental Large Language Model (LLM) prototypes to production-ready systems represents one…
Read MoreIntroduction The deployment of Large Language Models (LLMs) in production environments presents significant computational challenges…
Read MoreIntroduction As Large Language Models (LLMs) become increasingly integrated into critical applications—from healthcare diagnostics to…
Read MoreThe exponential growth in Large Language Model (LLM) size has made distributed training not just…
Read MoreAs Large Language Models (LLMs) continue to grow in size and capability, the need for…
Read MoreBuilding custom Large Language Model (LLM) architectures requires a deep understanding of fundamental design principles…
Read MoreRetrieval-Augmented Generation (RAG) has transformed how we build knowledge-intensive AI applications, enabling language models to…
Read MoreThe development of large language models has revealed one of the most fascinating phenomena in…
Read MoreThe transformer architecture has dominated the landscape of large language models since its introduction in…
Read More