Hi, I'm Jindong Cao.
A
Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving complex problems.
Experience
Machine Learning Engineer Intern
- Developed an AI tool for image editing, significantly enhancing the quality of image editing tasks.
- Integrated multiple advanced AI models, including ChatGPT, Segment Anything Model (SAM), Grounding-Dino, and Stable Diffusion, to achieve high-quality image editing results, enabling the image to be more realistic.
- Implemented model pruning on Blip2 and CLIP models, optimizing their efficiency, reduced memory usage by 30%, reduced average runtime by 40%.
- Skills: Python, PyTorch, LLM, Model Pruning and Quantization
Feb. 2023 - June 2023 | Sacramento, United States
Software Engineer Intern
- Completed the refactoring of a data center that significantly improved its operational efficiency, reduced the average query time by 70%.
- Designed more appropriate data structures by specifically analyzing the application scenarios, reducing the query time complexity of the data center. Wrote automation test code for future code updates and maintenance.
- Skills: C++, Data Structure
July 2022 - Sep. 2022 | Dongguan, China
Projects
Co-First Author
- Co-authored a research paper《Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning》, which was submitted to《Pattern Recognition》. Took a leading role in the design and execution of experiments, as well as partial writing of the research paper.
- Leveraged the transferable representation capabilities of large-scale pre-trained vision-language models to alleviate the low-resource problem in medical images classification supporting clinical auxiliary diagnosis.
- By introducing additional structures for zero-shot and few-shot learning prompt embedding, the model's classification ability is enhanced.
- Skills: PyTorch, CLIP, Transformer
Oct. 2022 - May 2023 | GuangZhou, China
Research Assistant
- Efficiently predicting Drug Target Interaction using LSTM and FPN.
- Achieve State-of-the-Art accuracy, outperforms the previous SOTA DrugVQA!
- Skills: Pytorch, LSTM, CNN
Oct. 2021 - Feb. 2022 | Guangzhou, China
Education
Pittsburgh, USA
Degree: Master of Science in Electrical and Computer Engineering
GPA: 4.0/4.0
- Speech Recognition
- Hardware Arithmetic for Machine Learning
Relevant Courseworks:
Guangzhou, China
Degree: Bachelor of Science in Computer Science
GPA: 3.9/4.0
- Data Structures and Algorithms
- Database Management Systems
- Operating Systems
- Machine Learning
- Computer Network
Relevant Courseworks: