# Ethan Santosa

> Software Engineer

Location: Santa Clara, California, United States
Profile: https://flows.cv/ethansantosa

🎮 Unity Developer | XR/VR Experiences | Real-Time 3D | AI-Powered Interactivity
 
I build worlds — virtual ones. As a Unity developer with 3+ years of hands-on experience, I specialize in creating immersive XR, VR, and AR applications that push the boundaries of how people interact with technology.
 
From developing VR environments for academic research at Santa Clara University's Imaginarium Lab to shipping multiplayer 3D career platforms at FlyHigh Group, I've built experiences that aren't just visually compelling — they're designed to solve real human problems. One of my proudest projects helps users dealing with body dysmorphia by letting them explore and customize virtual avatars in a safe, immersive space.
 
What I bring to the table:
 
🕹️ Deep Unity expertise — character systems, multiplayer (PhotonView/PhotonVoice), VR hardware integration (Quest Pro 3, HP Omnicept)
🧊 3D asset creation in Blender & Maya — from hyper-realistic avatars to low-poly environments
🤖 AI integration — OpenAI API, ChatGPT, Google Text-to-Speech woven directly into interactive experiences
🌐 Full-stack awareness — I've collaborated with frontend/backend teams and understand the full product lifecycle
🏆 Hackathon winner — First Place at Hack for Humanity 2022, building a virtual ocean pollution museum in 24 hours
 
I've also contributed to published academic research on VR and social anxiety, presented at the International Communication Association Conference.
 
Whether it's a game, a training simulation, a social platform, or an experimental XR experience — if it lives in a headset or a real-time 3D world, I want to build it.
 
Let's connect if you're working on something that blurs the line between the physical and the virtual. 🚀

## Work Experience
### Software Engineer @ ZL Tech
Jan 2025 – Present | Milpitas, CA
● Designed and built an AI-driven document tagging system to classify documents by category and metadata.
● Implemented and compared multiple NLP and ML approaches, including DistilBERT, ModernBERT, Bag-of-Words,
and SVM, to optimize classification accuracy.
● Accelerated experimentation and training workflows using Databricks, Weights & Biases, and Optuna for
hyperparameter optimization and experiment tracking.
● Evaluated model performance using precision, recall, and F1-score metrics, achieving strong and reliable
classification results.
● Designed and implemented a regex-driven tagging engine to compare deterministic lexical results against AI-based document classification models


## Education
### Bachelor's Degree in Computer Engineering
Santa Clara University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ethan-santosa

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Source: https://flows.cv/ethansantosa
JSON Resume: https://flows.cv/ethansantosa/resume.json
Last updated: 2026-04-11