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.
- 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
- Currently working on Deep Learning Efficiency Robust by Sparsity
- Previously conducted FPGA Acceleration Research, optimizing deep learning models for FPGA
- Languages: Python, C/C++, JavaScript
- Frameworks: TensorFlow, PyTorch, Terraform
- Areas: Computer Vision, NLP, Machine Learning, FPGA Acceleration
- Tools: Vivado HLS, TVM, SQL, Gtihub Action
- π Pursuing MS in Computer Science at UT Dallas
- π€ LLM-based application development
- π± Researching sparsity in deep neural networks
- π― Open to collaboration on innovative projects in AI and Edge Computing
- π« Email: chaeeonlim0722@gmail.com
- π Location: Richardson, Texas