# Paul Tang (cftang)
**Based in Tokyo & Taipei ｜Senior Backend & ML Software Engineer (8+ years)**
- **GitHub:** https://github.com/cftang0827
- **LinkedIn:** https://www.linkedin.com/in/paul-tang-065b74aa/
- **Webpage:** https://blog.cftang.dev/about/
- **Email:**
[email protected]
- **Nationality:** Taiwan
- **TOEIC:** 900
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## EDUCATION
### National Taiwan University (NTU)
**College of EECS — M.S. in Biomedical Electronics and Bioinformatics**
_Aug 2015 – Oct 2017_
- GPA: **4.15 / 4.3**
- Advisor: Prof. Pai-Chi Li (NTUEE)
- Research Areas:
- Biomedical Image Processing
- Computer Vision
- Digital Image Processing
- Medical Image Algorithms
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## EMPLOYMENT
### Senior Backend & ML Software Engineer — U-NEXT Inc.
_May 2021 – Present_
Entertainment Streaming Platform
https://www.video.unext.jp/
- Built high-availability **MLOps computation systems** on Kubernetes
- Designed and maintained **ETL data pipelines** using Apache Airflow
- Established **LLM related projects** like **MCP, ChatBot ..etc**
- Developed **Computer Vision algorithms** using OpenCV and PyTorch
- Built APIs for **Recommendation Systems** and Deep Learning services
- Worked extensively with:
- Python, Node.js
- Kubernetes, Airflow
- GCP, AWS
- Terraform
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### Backend Software Engineer — Virtusize Inc.
_May 2019 – Jan 2021_
Fashion Fitting Technology for E-commerce
https://www.virtusize.com/virtusize
- Backend development for Virtusize APIs and event workers
- Used **Python (Django, Flask)** and **AWS Lambda**
- Migrated legacy architecture to a modern cloud-native design
- Designed:
- i18n services
- Email delivery services
- Internal frontend tools using Vue.js
- Developed Computer Vision systems for fashion tech:
- Object Detection
- Image Recognition
- Tech Stack:
- Python, Django, Flask
- Docker, CircleCI
- AWS
- TensorFlow, Keras
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### Computer Vision & Backend Software Engineer — Astra Inc.
_Dec 2017 – May 2019_
Smart Retail, IoT & Computer Vision
https://www.astra.cloud/
- Led a team of **3 engineers**
- Designed algorithms for:
- Pedestrian counting
- Facial analysis in smart retail scenarios
- Researched and optimized academic papers for production use
- Deployed CV models onto **embedded systems**
- Designed scalable backend services and APIs on AWS
- Tech Stack:
- Python, Golang
- AWS, Docker
- MySQL / NoSQL
- OpenCV, TensorFlow, Keras
- Object Detection & Tracking
- Facial Recognition
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### Application Engineer Intern — Intel Taiwan
_Data Center Group_
_Mar 2016 – Jun 2017_
- Studied **Intel FPGA acceleration platforms**
- Explored Deep Learning acceleration use cases
- Implemented GUI demo tools using **C++ (Qt)**
- Developed internal scripting and tooling systems
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## SKILLS
### Programming & Frameworks
- **Proficient:**
Python, Django, Flask, MATLAB, Git, Linux, Keras, OpenCV, Arduino, Raspberry Pi
- **Familiar:**
Golang, C#, SQL, JavaScript, Vue.js, HTML/CSS, Java, C/C++
### Cloud & Infrastructure
- Kubernetes, Docker
- AWS, GCP
- Airflow, Terraform
- CI/CD, GitOps
### Languages
- Chinese — Native
- English — Fluent
- Japanese — Basic
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