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siwoo-jung/README.md

Siwoo JUNG

Linkedin Badge

  • Technical Engineer @ Enov8.
  • Master's student in computer science at the Georgia Institute of Technology.
  • Open source contributor - microsoft-presidio
  • Former process and project engineer, as well as a researcher in the hydrogen field.
  • Actively transitioning into the technology industry, driven by passion and enthusiasm for the field.

Work Experience

Technical Engineer, Full-time @ Enov8, Sydney, Australia (July 2025 - Present)

Technical Engineer, Intern @ Enov8, Sydney, Australia (February 2025 - June 2025)

  • Designed and implemented a scalable microservice architecture prototype for de-identifying sensitive information in DICOM medical images, leveraging AI/ML.

Education

Georgia Institute of Technology - M.S. in Computer Science (Aug 2024 - Present)

  • Specialisation in Computing Systems

University of New South Wales - M.Phil. in Chemical Engineering (Sep 2024)

Open Source Contributions

microsoft-presidio

GitHub commit activity

  • Major contributions:
    • ✅ Merged PR#1675 - Added KrRrnRecognizer for Korean RRN detection with regex patterns, context awareness, and checksum validation.
    • ✅ Merged PR#1653 - Enhanced NlpEngineProvider with validation methods for NLP engines, configuration, and conf file path, enabling an input validation logic to ensure that only valid arguments are passed to NlpEngineProvider.

Certifications

Side Projects

AWS-powered Full-Stack E-Commerce with Microservices & Serverless Backend

Demo, Dev Blog, Repo

AWS
Others
  • Implemented scalable and serverless microservices backend architecture with AWS Lambda
  • Containerised each AWS Lambda microservice with Docker and hosted images on Amazon ECR
  • Established CI/CD pipeline and automated deployment via AWS CodeBuild and AWS Amplify
  • Developed RESTful CRUD operations via Amazon API Gateway
  • Managed database via Amazon DynamoDB
  • Utilised Next.js with Tailwind CSS for frontend performance with flexible styling

Machine Learning with Computational Fluid Dynamics (CFD)

NumPy Pandas scikit-learn TensorFlow Keras Matplotlib

Repo

  • Data visualisation & pre-processing
  • ML model development with supervised learning
    • Linear
    • Polynomial
    • Ridge & LASSO
    • Support Vector Regressor
    • Decision Tree & Random Forest
    • Gradient Boosting & XGBoost
    • Neural Network
  • Hyperparameter tuning with cross-validations
  • Evaluation of results with
    • R-Squared
    • Mean Absolute Error
    • Mean Absolute Percentage Error
    • Mean Squared Error

Pinned Loading

  1. ecommerce-frontend ecommerce-frontend Public

    AWS-powered Full-Stack E-Commerce: Next.js Frontend with Microservices & Serverless Backend

    TypeScript 1

  2. IndiOne IndiOne Public

    Forked from min-1870/IndiOne

    Hackathon project for "</Code> with Maps sponsored by Google Maps Platform". Shortlisted to Grand Finale as one of 10 groups out of total 7000+ registered teams (Ref: https://www.linkedin.com/posts…

    TypeScript

  3. Machine_Learning_with_CFD Machine_Learning_with_CFD Public

    A part of research during the Master of Philosophy candidature in University of New South Wales

    Jupyter Notebook 1