# Peng-Yuan Chen

> Software Engineer @ Bloomberg | Ex-Meta Software Engineer Intern

Location: Brooklyn, New York, United States
Profile: https://flows.cv/pengyuan

Computer Science master student with industrial and research experience. Proficient in Java, Python, and GCP. Familiar with Vision-based deep learning solutions, AI-based API design and maintenance. Experienced in building infrastructure for API serving, data pipeline, AI products development.

## Work Experience
### Software Engineer @ Bloomberg
Jan 2023 – Present | New York City Metropolitan Area

### Software Engineer Intern @ Meta
Jan 2022 – Jan 2022 | Menlo Park, California, United States
Constructed Database Admin Events Logging Table:
．Designed interactive table UI showing configuring records for 2k+ internal databases
．Created MySQL table and data pipeline to collect/store logging data from scattered sources
．Exposed back-end data source through GraphQL for efficient and easy data retrieval
．Constructed front-end interface with React and applied Relay Fragments for client-side data fetching

Established first Jest testing routine to validate stability of team’s product

Conducted A/B testing on 200K users to evaluate efficiency of newly launched features

### AI / Data Software Engineer @ Jubo
Jan 2020 – Jan 2021 | Hsin-tien, New Taipei City, Taiwan
Oversaw Data Pipeline Infrastructure and Guideline project: :
．Integrated Airflow and BigQuery to provide infrastructure for data pipeline and MLOps
．Built data pipeline to collect business data and statistics from 30k daily records
．Integrated data pipeline into website backend, reduced loading time by 90% 

Managed API Serving Infrastructure and Guideline project: 
．Built and maintained infrastructure for API serving
．Migrated team’s API servers from separated GCP VMs to GCP Kubernetes Cluster
．Configured DNS and TLS security service for team’s API services

Led Vision-based AI Wound Assessment API:
．Implemented object detection algorithms (Yolo v3) to detect bedsores occurred on elders
．Built CNN model (Inception Resnet v2) to assess bedsores, reached 80% accuracy
．Developed size measurement algorithm to estimate dimensions of bedsores

Created AI products to aid 4,000+ nursing practitioners in over 180 elder-care centers for support decision making
Optimized API by multi-threading computation, saved over 50% of computing resources
Mentored 3 interns in AI and DS related projects

### Research Assistant @ National Taiwan University
Jan 2018 – Jan 2020 | Da'an District, Taipei City, Taiwan
Conducted research project: "Autonomous Rebar Image Inspection System":
・Implemented image segmentation algorithm (DeepLab v3) to measure structural steel, reached 93% of accuracy
・Built portable device with 3D camera and edge computer for structural steel bars inspection

Participated in research project: "Autonomous Sway Reduction System of Crane Payload":
・Developed vision-based object tracking function with OpenCV


## Education
### Master of Science - MS in Computer Science
New York University
Jan 2021 – Jan 2023

### Master of Science - MS in Civil Engineering, Concentration: Computer Aided Engineering
National Taiwan University
Jan 2016 – Jan 2018

### Bachelor of Engineering - BE in Civil Engineering
National Taiwan University
Jan 2012 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/peng-yuan-chen

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Source: https://flows.cv/pengyuan
JSON Resume: https://flows.cv/pengyuan/resume.json
Last updated: 2026-03-23