About

Yu-An Chen (Tim)

Backend & AI / Data Engineer · Taipei, Taiwan

Building AI and data systems that actually run in production — and turning the decisions into documentation.

Backend engineer with hands-on MLOps experience. Comfortable across cloud infrastructure (GCP, Docker, Ansible) and data pipelines (Airflow, Prefect, PySpark), with a focus on shipping AI into production — RAG systems, model monitoring, and automated training workflows.

Full Stack (React / FastAPI / DB)Data Engineering (ETL · Airflow · Prefect)Cloud & DevOps (GCP · Docker · CI/CD)MLOps (training · tracking · real-time inference)

Principles

Experience

  1. Senior Software Engineer 2024/05 – Now

    Oomii Inc.

    Led the GCP cloud architecture for a real-time AI voice-assistant platform — VPC-isolated networking, Prometheus/Grafana monitoring, and internal GitLab CI/CD; also built PCVR molecular-simulation tools in Unity/C#.

  2. Software Engineer 2022/05 – 2024/05

    Oomii Inc.

    Built rehabilitation and remote-meeting prototypes in Unity/C#, automated multi-environment deployment with Ansible, and turned Figma designs into functional apps with UI/UX.

  3. System Engineer 2021/11 – 2022/02

    Asus Inc. — AICS

    Maintained and optimized ETL pipelines, using Airflow to sync and transform millions of records while ensuring data accuracy and consistency.

  4. Algorithm Development Engineer 2020/04 – 2021/03

    Anzhilian Tech

    Built a smart inspection platform integrating object detection and image classification, a Flask backend with MySQL/Redis, and containerized deployment via Docker Compose.

  5. Software Engineer Intern 2018/07 – 2018/10

    FOXCONN

    Developed deep-learning inspection models with TensorFlow/Keras, handling image preprocessing and training to significantly improve detection accuracy.

Selected Projects

GitHub Data Analytics Pipeline

Automates GitHub Watch event processing with GCP, Airflow, and BigQuery, surfacing real-time open-source trends through a Streamlit dashboard.

GCPAirflowBigQueryPythonStreamlitTerraform

Stock Price Prediction with MLOps

End-to-end MLOps pipeline: automated ETL, model training, experiment tracking, real-time inference, monitoring, and CI/CD on a Dockerized stack.

PrefectMLflowFastAPIPrometheusGrafanaPostgreSQLClickHouseDockerGitHub Actions

Arxiv Knowledge Assistant

An arXiv retrieval platform with daily ingestion, vector retrieval, LLM RAG, bilingual Q&A, and a visual dashboard — fully containerized and monitored with Prometheus/Grafana.

FastAPIPrefectQdrantPostgreSQLMinIOReactDockerGrafana

Clothing Recommendation Platform

Combines web scraping, ETL, Redis caching, a FastAPI backend, and a React frontend to suggest outfits by regional style, color palette, and gender.

FastAPIReactRedisETLPython

Skills

Backend
FastAPIFlaskNode.jsPythonC#
Data Engineering
AirflowPrefectPySparkETLBigQueryClickHouse
Cloud & DevOps
GCPDockerAnsibleTerraformCI/CD
MLOps / AI
MLflowRAGQdrantPrometheusGrafana
Frontend / XR
ReactUnityC# (PCVR)

Certifications 12

2025

Interests

Travel A change of scenery often untangles a problem better than grinding at it.
Reading / Music The quality of your input shapes the quality of your output.

Contact