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chaeeon-lim/README.md

Hello there πŸ‘‹

I'm Chaeeon Lim, a Master's student in Computer Science at The University of Texas at Dallas, with a background in Computer Science and Electronics Engineering.

Professional Experience

  • Research Engineer at Future Design Systems (Nov 2020 - Dec 2023)
    • Worked on 3D OCT image preprocessing for anomaly detection
    • Developed regression models for odor sensor analysis
    • Quantized YOLO models for FPGA acceleration

Projects and Research

  • Currently working on Deep Learning Efficiency Robust by Sparsity
  • Previously conducted FPGA Acceleration Research, optimizing deep learning models for FPGA

Technical Skills

  • Languages: Python, C/C++, JavaScript
  • Frameworks: TensorFlow, PyTorch, Terraform
  • Areas: Computer Vision, NLP, Machine Learning, FPGA Acceleration
  • Tools: Vivado HLS, TVM, SQL, Gtihub Action

Top Langs

Current Focus

  • πŸ”­ Pursuing MS in Computer Science at UT Dallas
  • πŸ€– LLM-based application development
  • 🌱 Researching sparsity in deep neural networks
  • πŸ‘― Open to collaboration on innovative projects in AI and Edge Computing

Connect with Me

Citations: [1] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/37645674/91a92fb0-7fdd-4499-90a1-fca4d84f36e4/Chaeeon-Lim-Resume-ver4.1.pdf

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  1. Coding_Clinic_v20 Coding_Clinic_v20 Public

    Java

  2. SoccerDatabase SoccerDatabase Public

    SoccerDatabase Project Program from Database Systems Class in Handong Global University

    Java 2 3