Senior Software Engineer
THINK • DESIGN • CODE
Senior Software Engineer with 10+ years of experience architecting high-performance server-side systems and managing scalable cloud infrastructure.
Full-stack development with modern best practices, focusing on scalable and maintainable solutions
Java, Go, PHP — Building robust server-side applications and microservices
REST, GraphQL, gRPC — Scalable APIs that drive business growth
PostgreSQL, MySQL, MongoDB, Elasticsearch
AWS, GCP, Kubernetes — Cloud-native deployments
Architecture patterns & distributed systems
Optimization, caching, observability
Some of my recent work and side projects
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.
A multi-tenant platform that manages product catalogs, pricing, and stock levels for multiple retail brands. Each brand has its own system (real-time API, CSV file, OMS/SAP feeds) — data from all brands is unified into a single storefront layer. Features batch import and product synchronization, dual price sync strategy, stock level sync, and search feed generation powered by Elasticsearch.
A payment processing system that handles payment creation, bank notification processing, and reconciliation for a travel booking platform. Integrated with multiple Indonesian banks and payment aggregators, processing payments for flight and hotel bookings with async notification handling and daily reconciliation.
Single sign-on authentication system serving the entire travel booking customer platform. Every login, registration, OTP verification, password reset, and social authentication flow passed through this service. Migrated from PHP/Laravel session-based monolith to Java/Spring Boot stateless JWT architecture with zero downtime using a five-phase gradual traffic shifting strategy.
In 2015, when Amazon presented their architecture, they revealed that a single request to the Amazon homepage involved calls to 100-150 services. Each service had its own team, its own deployment schedule, and its own test suite. When the homepage broke, the first question wasn't "where's the bug...
In 2016, a study by a team of researchers in the Netherlands tested 23 open-source Java projects and found that test suites with 100% line coverage detected only 73% of injected bugs on average. 100% coverage, yet 27% of bugs slipped through. How? Because coverage measures whether code is execute...
In 2010, Etsy published that they averaged 50 deployments per day — an extraordinary number at the time. The secret wasn't faster developers. The secret was an automated test suite that gave them confidence every deployment was safe. Each commit triggered an automated pipeline that ran thousands ...