Software EngineerJakarta, Indonesia
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My main focus is frontend architecture. I also work with backend systems, test automation, and cloud infrastructure.
At Bank Rakyat Indonesia, I build shared frontend foundations for QLola, a corporate banking platform used by more than 20 teams. Before that, I led enterprise system work at LG Group and handled reliability during a three-wave cloud migration.
I earned a Bachelor of Science in Computing from President University on a 70% Jababeka Scholarship.
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May 2026 — Present
Bank Rakyat Indonesia
I build shared frontend foundations for QLola, a high-traffic corporate banking platform. The microfrontend framework, component library, and multilingual system are used by more than 20 teams.
May 2024 — May 2026
LG Group
I led enterprise platform, MES, and smart-factory work across more than 10 global sites. I also handled reliability during a three-wave cloud migration that held 99.99% availability, latency below 52 ms, and an error rate below 0.1%.
Feb — May 2024
BPJS Kesehatan
I introduced UI and API automation to a team that had relied on manual testing. The work included reusable end-to-end suites, performance testing, and CI/CD runs on every commit.
Jan — Dec 2023
Knight Connections
I built client websites, a regional inventory dashboard, and a Python script that migrated and cleaned more than 10,000 product records.
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01
Technical writing · Part 1
This article explains when micro frontends make sense, how host and remote applications work, and what Module Federation 2.0 brings to React and Vite.
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Technical writing · Part 2
This follow-up walks through a Vite monorepo with remote-to-remote modules, shared routing, Tailwind CSS, error boundaries, and TypeScript.
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Academic project
My university final project: an English-to-Batak Toba dictionary with fuzzy search and speech synthesis.
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Machine learning experiment
A browser-based self-driving car simulation built with vanilla JavaScript to explore neural networks and machine learning.
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Computer vision experiment
A browser-based object detection experiment built in JavaScript without an external machine learning library.
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JavaScript, TypeScript, Python, C#, Java, Go, PHP, Kotlin, SQL, HTML5, CSS
React, Next.js, Vue.js, Tailwind CSS, shadcn/ui, Bootstrap, Storybook, Redux, TanStack Query, React Hook Form, Zod, i18next, Highcharts, Wijmo
Node.js, .NET, Spring Boot, Spring Framework, Laravel, REST APIs, WordPress, Sanity, Voyager CMS
System Design, Microfrontends, Module Federation, Microservices, Clean Architecture, WPF, IoT, MQTT, Solace, BizActor
SQL Server, Oracle, PostgreSQL, MySQL, MongoDB, Redis, Data Analytics
Jest, Selenium, Katalon, JMeter, k6, SonarQube, Datadog, Grafana, Performance & Load Testing
Docker, Git, CI/CD, Vite, Webpack, AWS, Google Cloud, Tencent Cloud, Jira, Confluence, n8n, Agile, Scrum
Machine Learning, Neural Networks, Object Detection, Computer Vision, AI & LLM, OpenGL, Fuse.js, Web Speech API
UI/UX, Product UI, Manufacturing Execution Systems, Smart Factory, Battery Manufacturing
Communication, Problem Solving, Collaboration, Adaptability, Ownership, Time Management, Attention to Detail