New York, NY · MSCS @ NYU Courant

Jason Chen

Jason Chen

AI Systems · Cloud Computing · Full-Stack Development

I build AI-powered applications, cloud-based systems, and scalable backend services that combine machine learning, data pipelines, and modern software engineering.

About Me

Building AI-powered systems with practical impact.

Master of Science in Computer Science, NYU Courant

My work focuses on building useful systems across AI, backend engineering, and cloud deployment. I am especially interested in projects that combine machine learning, APIs, data pipelines, and clean user-facing interfaces.

Education

Academic Background

New York University

Courant Institute of Mathematical Sciences

M.S. in Computer Science · September 2025 – Present

University of Taipei

B.S. in Computer Science

September 2021 – February 2025 · GPA 3.84 / 4.0

What I Use

Skills

AI / ML

Machine LearningComputer VisionMediaPipeScikit-learnLLM Tools

Software Engineering

PythonJavaJavaScriptReactFlaskREST APIs

Cloud / DevOps

AWSDockerKubernetesOpenShiftCI/CDGitHub

Experience

Professional Experience

Frontend Design Intern

Jessie Tech Co., Ltd.

August 2023 – September 2023

Worked on UX/UI data organization, frontend development, and 3D model testing using JavaScript and React.

Teaching Assistant — Student Buddy Program

University of Taipei

November 2024 – December 2024

Selected Work

Projects

AI / Cloud / Computer Vision

Cloud-Based Intelligent Taekwondo Motion Classification System

Built an end-to-end AI web system that classifies Taekwondo kicks from uploaded videos using MediaPipe pose estimation, machine learning, and cloud deployment.

PythonMediaPipeScikit-learnAWS EC2S3Streamlit
  • Trained a Random Forest model on manually labeled Taekwondo motion data
  • Deployed a Streamlit inference app on AWS EC2
  • Integrated S3 storage for model artifacts and prediction outputs
View details

Backend / DevOps / API System

Promotions Microservice with CI/CD Pipeline

Built a production-style backend microservice with REST APIs, Swagger documentation, automated testing, and containerized deployment workflows.

PythonFlaskFlask-RESTXPostgreSQLDockerOpenShiftTekton
  • Implemented RESTful CRUD endpoints and promotion action routes
  • Added Swagger API documentation and automated tests
  • Worked with CI/CD deployment workflows using OpenShift and Tekton
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Big Data / Analytics / Distributed Systems

IMDb & YouTube Movie Trailer Analytics

Built a big data analytics pipeline that processed IMDb and YouTube trailer datasets to analyze sentiment, ratings, and box office trends.

Google DataprocHDFSHiveTrinoPythonSQL
  • Processed large-scale movie datasets using distributed systems
  • Built analytics workflows with Hive and Trino
  • Generated business insights from ratings and sentiment analysis
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AI / Deep Learning / Sensor Data

Human Activity Recognition Using CNN

Developed a CNN-based human activity recognition model using sensor data preprocessing and deep learning techniques.

PythonTensorFlowKerasNumPyPandas
  • Improved activity classification accuracy from 72% to 97%
  • Applied CNN architecture to time-series sensor data
  • Built preprocessing pipelines for motion recognition
View details

Research / Computer Vision / Sports Analytics

NSTC Undergraduate Research Project

Built a computer vision research system that transformed Taekwondo videos into measurable athlete performance metrics.

PythonMediaPipeOpenPoseComputer VisionPWA
  • Selected as an NSTC undergraduate research project
  • Analyzed athlete stability, consistency, and explosiveness from videos
  • Combined pose estimation with performance analytics
View details

Let’s build something useful.

I am currently looking for internship opportunities in AI engineering, software engineering, full-stack development, and cloud-based systems.

Email Me