Hi there (ﾉ´∀｀*) · Open to work

I build the
infrastructure
your code
runs on.

I'm Chun-Ju (Iridium) Tao, a Computer Engineering MS from NYU who works on backend and infrastructure. I've automated CI/CD on AWS, right-sized microservices to cut cloud costs, and built a Taigi (Taiwanese language) medical-advising LLM platform.

BasedPittsburgh, PA
DegreeM.S. Computer Engineering, NYU
StackPython · Go · Docker · AWS · PyTorch · MLflow
HonorsOpenHCI'25 1st · Fi-Award'23 · Level-Up'21
FromTaipei, Taiwan 🧋

01 ／Selected Projects

NYU Marketplace2025

NYU Marketplace

Full-stack web app with industry-grade CI/CD, 85%+ test coverage gates, and automated AWS deployment

Oblivilight - OpenHCI'252025

Oblivilight - OpenHCI'25

A privacy-focused AI-powered smart lamp that transforms nightly voice conversations into tangible memories.

Taigi (Taiwanese-Hokkien) Medical Advising LLM2025

Taigi (Taiwanese-Hokkien) Medical Advising LLM

Fine-tuned Taigi (Taiwanese-Hokkien) medical advising LLM with a full-stack MLOps pipeline.

02 ／Professional Experience

/01Co-Founder at A DayArchitected a production-grade MVVM iOS app with SwiftData and SwiftUI across 7 interconnected data models and 60+ source files, backed by Xcode Cloud CI/CD and 700+ Swift Testing unit and integration tests.MAY 2025 — PRESENT
/02Course Assistant at New York UniversityBuilt a 5-microservice ML safeguard lab with FastAPI and Docker Compose, and reviewed end-to-end MLOps systems from 30 teams on Chameleon Cloud against production criteria.JAN — MAY 2026
/03Data Science Intern at Micron TechnologyBuilt a production-scale pipeline and Streamlit app for fab-dispatch analysis (33GB/2 weeks), created an explainable LightGBM-SHAP model for parameter simplification, and developed repo-documentation tools cutting token use 10× and boosting developer efficiency 3×.JUL — AUG 2025
/04Software Developer at CARITY AIDeveloped a DevOps workflow with Docker and AWS ECS, cutting costs by 40%. Researched Agentic RAG, improving token efficiency 5× for question answering.MAY — AUG 2024
/05Software Engineer at MoBagelBuilt a full-stack material management system automating budgeting and inventory for Taiwan Water Corporation. Led GitFlow and Agile adoption, boosting efficiency during a 300% team expansion.JAN — JUL 2023
/06Software Engineering Intern at Mindtronic AIDeveloped a back-end server with Golang and PostgreSQL, handling 480k+ weekly entries. Added React-based dashboard features and built real-time ARM-device apps for fleet driving analytics.JUN — SEP 2022

03 ／About

“Finding the thread in complexity, carving order into systems at scale”

I'm Chun-Ju Tao, an NYU Computer Engineering grad working on backend and infrastructure, specializing in MLOps, applied machine learning, and scalable cloud systems. He works across the stack in Python, Go, and JavaScript, with particular depth in Docker, Terraform, AWS, PyTorch, and MLflow.

He built a complete MLOps stack to fine-tune and deploy a Taigi medical-advising LLM, with an automated, doctor-in-the-loop retraining pipeline on Airflow and MLflow. At Micron, he designed a production-scale Python pipeline and Streamlit web app to analyze 33 GB of manufacturing data per bi-weekly cycle, giving teams fast, reproducible studies. At CARITY AI, he containerized microservices and automated CI/CD on AWS ECS, cutting infrastructure costs by 40% and deployment time by 70%.

At MoBagel, he introduced Agile and GitFlow as the team tripled from 10 to 30 engineers, keeping releases stable through the growth. His work has been recognized at the 13th International Conference on Frontier Computing (Tokyo) and OpenHCI’25 (Taipei).