Skip to content
View JessieChin7's full-sized avatar
๐Ÿคฉ
๐Ÿคฉ

Block or report JessieChin7

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
JessieChin7/README.md

Hi there ๐Ÿ‘‹

I'm Jessie Chin, a Master's student in Information Management at NTU with a background in Psychology and a strong foundation in software engineering, AI, and intelligent systems.

Currently, I'm a Research and Development Intern at Microsoft Taiwan, focusing on AI-powered local search and user behavior analysis. I also have research experience in Human-Computer Interaction, Computer Graphics, and UI/UX Design, supported by academic publications.

I'm passionate about bridging technology and human needs through interdisciplinary approaches. I'm now seeking full-time roles in R&D, AI and Backend, where I can contribute my skills to real-world challenges and make a meaningful impact.

๐Ÿ“ซ Feel free to reach out via email or connect with me on LinkedIn!

LinkedinGitHub

๐Ÿ“š Education

  • Master of Business Administration in Management Information Systems, National Taiwan University (2023 - Expected 2025)
  • Bachelor of Science in Psychology, National Taiwan University (2019 - 2023)

๐Ÿ“ Publications

  • ๐Ÿ“„ AutoSketch: VLM-assisted Style-Aware Vector Sketch Completion

    • arXiv preprint, 2025.
    • Introduces a style-aware vector sketch completion method using vision-language models (VLMs) to preserve and replicate diverse sketch styles through natural language descriptions and executable style adjustment.
  • ๐Ÿ“„ Palette-Based and Harmony-Guided Colorization for Vector Icons

    • Computer Graphics Forum, Vol. 42, No. 7, (Proceedings of Pacific Graphics 2023 (PG 2023), Daejeon, Korea), 2023.
    • Proposes a palette-based colorization algorithm for vector icons without rasterization, enhancing stylistic control and semantic consistency.

๐Ÿ’ป Projects

  • ๐Ÿ–ผ๏ธ VisProg Framework Enhancement with LLM Integration
    • Enhanced the VisProg framework by integrating Large Language Models (LLMs) like Llama2 and GPT-3 for advanced computer vision tasks.
    • Implemented novel applications in style transfer, 2D to 3D conversion, super resolution, text to image, and depth estimation, improving adaptability and scalability.
    • Addressed cost efficiency by transitioning to open-source LLMs and innovating with technologies like DFN and CLIP for improved classification accuracy.
  • ๐Ÿ›๏ธ STYLiSH E-commerce Website
    • Developed an e-commerce web application with React and Node.js.
    • Built cloud infrastructure using AWS and Docker, and integrated third-party APIs for enhanced functionality.
  • ๐Ÿ“ˆ A Quantitative Trading Platform for Non-Programmers
    • Led a team to design and develop a modular trading platform, winning ๐Ÿฅ‰ Third Place in the Coding 101 Competition.
    • Responsible for front-end development and front-end/back-end integration.
    • Designed a user-friendly UI for visual strategy building, real-time data analysis, and seamless exchange API integration.
  • ๐ŸŽจ Color Experiment Project
    • Built a 3D interactive plotting tool for color space conversion using Python.

๐ŸŽ“ Courses

  • ๐Ÿ“Š Computer Vision Practice with Deep Learning @ NTU CSIE 2023 Spring
    • Projects on Transformer-Based Object Detection, Generic Object Detection, and Data Augmentation.
    • Techniques: DINO framework, DETR models, knowledge distillation, CLIP, RegionCLIP, BLIP2, GLIGEN.
    • Achievements: Improved object detection accuracy, addressed data imbalance, published academic papers.
  • ๐Ÿ“ Information Retrieval and Text Mining @ NTUIM 2023 Spring
    • Assignments in Term Extraction, TF-IDF Vectorization, Multinomial Naive Bayes Classifier, and Hierarchical Agglomerative Clustering.
    • Skills: Text processing, cosine similarity calculation, document classification, cluster analysis.
    • Tools: Porter Stemmer, Python, cosine similarity function, custom HEAP for clustering.
  • ๐Ÿ–ฅ๏ธ Human Computer Interaction and User Studies @ NTUIM 2023 Spring
    • Developed the "Gift 4 U" cross-platform mobile application.
    • Technologies: React Native, Expo, TypeScript.
    • Features: User Authentication, Search Functionality, Shopping Cart, Profile Management, Gift Games.

๐Ÿ‘ฉโ€๐Ÿ’ผ Experiences

  • Microsoft Taiwan โ€“ Research & Development Intern
  • OpenHCI 2023 - Technology Minister
  • AppWorks School Software Engineering Campus Program - Trainee
  • Create Art Talks & NYCU - Back-end Developer Intern
  • Programming Design & Programming for Business Computing in NTUIM - Teaching Assistant
  • Database Management in NTUIM - Teaching Assistant
  • Interactive Graphics (and Multimedia) Laboratory in NTUIM & NTUCSIE - Research Assistant

๐Ÿ’ป Tech Stack

C# C++ CSS3 HTML5 JavaScript Python R Solidity TypeScript Markdown LaTeX AWS Azure Google Cloud DigitalOcean Django Flask FastAPI Express.js DjangoREST Bootstrap JWT NPM NodeJS p5js UNITY React React Native Nginx AmazonDynamoDB MongoDB MySQL Postgres SQLite Adobe Illustrator Adobe Photoshop Adobe Premiere Pro Figma scikit-learn PyTorch Plotly NumPy Pandas LINUX Arduino Docker ESLint Notion Trello Swagger Postman

๐Ÿ“Š GitHub Stats & Trophies

Popular repositories Loading

  1. media_manage_api media_manage_api Public

    Python

  2. database_course_project database_course_project Public

    CSS

  3. remote-assignments remote-assignments Public

    JavaScript

  4. Color-experiments Color-experiments Public

    Color experiments about CIELAB 3D plotting

    Jupyter Notebook

  5. JessieChin7 JessieChin7 Public

  6. Gift-4-U-App Gift-4-U-App Public

    Human Computer Interaction and User Studies @NTUIM 2023 Spring

    TypeScript 1