Hi, I'm
Adit Upadhya
I'm a developer and brand builder based in Tokyo, passionate about making the web more immersive. Whether I'm crafting WebAR experiences for local businesses or building full-stack solutions, I love turning complex code into user-friendly digital products. When I'm not coding, you'll probably find me exploring Japan on my motorcycle. 🏍️
The Multilingual Architect of Digital Experiences
I build at the intersection of technical logic and human connection. My journey began in IT programming and game development at Yokohama System Engineering Specialist School, where I learned that the most powerful technologies are the ones that bridge gaps across language, accessibility, and the physical-digital divide. Today, I lead DIGIスタート, a multilingual agency in Tokyo helping brands navigate global markets.
I bridge technical execution and brand strategy, turning complex engineering into clear digital experiences. From architecting scalable code to exploring WebAR and AI-driven business solutions, I focus on products that are both intuitive and innovative. Fluent in English and Nepali, with Japanese at JLPT N2 level, I bring a global perspective to every collaboration.
Beyond the screen: you'll usually find me riding across Japan, experimenting with emerging learning tech like Luma AI, designing game mechanics that are genuinely fun, and thinking about how immersive web experiences can reshape the way people connect with brands.
🛠️ Tech Stack & Credentials
🏆 Certifications
- Web Creator Proficiency HTML5 Standard • Professional Responsive Design
- IT Passport (Level 3) Information Processing & System Strategy
- Japanese (JLPT N2 Level) Upper-Intermediate Japanese Proficiency • Active Learner
💻 Technical Proficiency
| Languages | Python, JavaScript (ES6+), TypeScript, C#, HTML5/CSS3 |
| Frameworks | React, Node.js, Express.js, Pygame |
| WebAR/3D | MindAR.js, Three.js, model-viewer, Meshy.ai, Luma AI |
| Infrastructure | Docker, Vercel, MongoDB, GitHub Actions |
🎓 Sign Speak
Lead Developer | Graduation Project
Bridging the silence with AI. I led the development of this tool because I wanted to break down barriers for the deaf and hard-of-hearing community. Using custom ML models trained on hand gestures, we turn sign language into instant text and speech—no heavy hardware needed, just a webcam and the goal of making communication effortless. This serves approximately 70 million deaf individuals globally and 400,000 in Japan.