Raihan Satria — AI Product Engineer & Design Technologist
Based in Tokyo. Currently working at Honda Motor Co. on agentic AI systems and human-centered design. Master's in Media Design from Keio University (Dean's List). Background in Mechanical Engineering from Universitas Indonesia.
I believe technology should feel human. My work focuses on the intersection of agentic AI systems and human-centered design — turning complex information, like road safety regulations or organizational knowledge, into intuitive, high-accuracy conversational experiences.
Selected Projects
Safety Driving Education System — Honda Motor Co. (2025–2026)
An end-to-end AI platform that personalises driver education through psychometric profiling. 19 screens from DSQ assessment to AI-led lessons to e-certification. Predicted ~15% improvement in safety awareness from a Phase 1 simulation; deployed to production. Role: UX/UI Designer & AI Engineer. Tools: Figma, FastAPI, LangChain, Next.js, Azure OpenAI.
Bilingual AI Safety Companion — Honda Motor Co. (2025–2026)
Cloned a real domain expert's personality into a bilingual (JP/EN) cycling-safety conversational AI. 54+ behavioral and linguistic traits modeled via multimodal Gemini analysis. Hybrid Graph+Vector RAG pipeline using Neo4j. Real-time voice avatar with Qwen3-TTS voice cloning and MuseTalk lip-sync. Role: Conversational AI Designer & Engineer.
Chatter Platter — Keio University (2023–2024)
A tabletop storytelling card game and AI system for family mealtimes. 54 prompt cards, 4 interaction modes, Speech-to-Image AI with OpenAI DALL·E. 122% longer meal duration across 6 family test groups. 150+ meaningful exchanges per session. Best Thesis Award and Dean's List, Keio University. Showcased at PLAY Exhibition 2024.
Spotify Karaoke Party Room — UI/UX Design (2021)
A conceptual Spotify feature for live remote karaoke sessions, designed during COVID-19 lockdowns using 5-phase Design Thinking methodology. 80.5% usability success across 9 structured tasks. Key insight: Task 3 returned 25% success, leading to a 3-step wizard redesign.
In-Pipe Inspection Robot — Universitas Indonesia (2019–2020)
An affordable 3D-printed in-pipe inspection robot developed with Pertamina, Indonesia's state oil company. Prototype cost under $500 vs $50,000+ commercial systems (80%+ cost reduction). Published academic paper: "High Customization Design of an In-Pipe Inspection Robot by using 3D Printing". Caterpillar wall-pressed design, Arduino control, GoPro Wi-Fi camera.
View all projects