I'm Brilian Ade Putra. At Honda in Tokyo, I take machine learning from training run to shipped product.
I'm an AI Engineer with a background that spans mobile apps, full stack development, and production machine learning. I've shipped products to millions of users and now focus on building intelligent systems at Honda's AdvanceAI Strategy division.
When I'm not training models, I'm training Pokémon. 🎮
Honda Motor Co., Ltd. · Tokyo, Japan
Design and deploy machine learning systems at Honda's AdvanceAI Strategy Planning Division. Build production ML pipelines, generative AI applications, and data platforms that drive real product decisions.
Python, LangChain, RAG, Azure AI, OpenAI, FastAPI, Docker
MMS Group Indonesia · Jakarta, Indonesia
Built and maintained MMSGI Chat (Android/iOS) using React Native with Rocket.Chat integration. Led external team in delivering MMSGI Super App, a multi-featured enterprise mobile solution. Set up CI/CD pipelines via GitHub Actions, cutting deployment time by 50%.
React Native, TypeScript, Android, iOS, GitHub Actions, CI/CD
Gravel · Jakarta, Indonesia
Delivered two Android apps (Gravel, Gravel Dulur) using Kotlin and Jetpack Compose. Built a reusable design system and library, reducing dev time for future projects by 20%. Designed Surveyor and Home Service features that unlocked new revenue streams.
Kotlin, Jetpack Compose, Android, Retrofit, Room
Vision+ (MNC Vision Networks) · Jakarta, Indonesia
Integrated Dolby Vision & Atmos, leading a team of 5 developers. Improved app performance by 75% and reduced crash rate by 15%. Maintained and released updates using Java and Kotlin.
Kotlin, Java, Android, ExoPlayer, Dolby Vision
Garapin · Jakarta, Indonesia
Built cross-platform apps for Android and iOS using Flutter. Developed a responsive web version with Next.js. Collaborated in feature planning and agile product cycles.
Flutter, Dart, Next.js, Android, iOS
From production ML pipelines to mobile apps used by millions.
Solo-built Android app for daily Islamic practice. Accurate prayer schedules, Qibla direction, and a clean Jetpack Compose UI. Designed, built, and shipped to Google Play end to end.
Kotlin, Jetpack Compose, MVVM, Google Play
View project →Real-time hand gesture recognition system using MediaPipe for computer vision and machine learning. Translates hand movements into control commands for touchless interaction.
Python, MediaPipe, OpenCV
View project →Model Context Protocol (MCP) server that scrapes Amazon product data across 20 global domains. Built to let LLMs compare products directly, because comparing 18 monitors by hand was not happening.
JavaScript, MCP, Node.js, Web Scraping
View project →Writing about AI engineering and product building, published on Medium.
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