About me

👋 Hi! I'm Anning Li. I'm currently a master's student at Carnegie Mellon University's School of Computer Science, majoring in Artificial Intelligence and Innovation.

⭐️ I completed my undergraduate degree in Software Engineering at the University of Electronic Science and Technology of China, where I had the opportunity to work on diverse projects in Machine Learning, Software Engineering and Data Analysis. I was lucky that my academic journey also included conducting research on relation extraction at the AONE-NLP lab, along with gaining industry experience at Baidu and Instameta.

🏖️ Outside of academics, I enjoy traveling, meeting new people, and exploring different cultures and habits.
(Also a die-hard Swiftie) 💜

What i'm interested in

  • AI icon

    Artificial Intelligence

    Conducting research relating to machine learning, computer vision and human computer interactions.

  • Software Engineering icon

    Software Engineering

    Develop softwares and conduct software testings.

  • Web development icon

    Web Development

    Design high-quality and beautiful websites.

References

  • Yunbo Rao

    Yunbo Rao

    Anning first joined my courses, Program Design and Algorithm Foundation, and the practical Project upon Program Design (BPLF) in the initial semester of the 2020-2021 academic year. Over the past three years at UESTC, I've observed her remarkable academic growth. Anning transformed from a curious, diligent student into a logical, thoughtful scholar with significant research potential. Her commitment to excellence is evident in consistently submitting high-quality code and implementing algorithms effectively, earning a score of 100 all the time. Anning's outstanding contributions to group activities and class discussions, coupled with her impressive project work, have rightfully earned my highest commendation.

  • Zheng Chen

    Zheng Chen

    Anning enrolled in my Object-Oriented Programming Java course in her junior year at UESTC. My course focused on Java programming, and featured hands-on assignments to impart practical skills for real-world projects. Anning not only completed all assignments, showcasing her proficiency in tasks like multi-threaded merge sort and GUI calculator creation but also independently executed a "Build my own chatting room" project. Throughout, she demonstrated potential as a software engineer, applying abstraction and decomposition methods with creativity. Anning's meticulous attention to detail in testing culminated in a high-quality final project, solidifying her capabilities and potential success in her chosen field.

Daniel lewis
quote icon

Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. Carnegie Mellon University - School of Computer Science

    Master of Science in Artificial Intelligence
    08/2024 - 05/2026(Expected)

    Major: Artificial Intelligence and Innovation

    Relevant Coursework: Intro to Machine Learning, Intro to Computer System, Artificial Intelligence and Future Markets

  2. University of Electronic Science and Technology of China(UESTC)

    Bachelor of Software Engineering
    09/2020 - 06/2024

    Major: Software engineering

    GPA: 3.77/4.00 (Rank: 12/800)

    Relevant Coursework: Computer Architecture, Computer Operating Systems, Software Engineering, Artificial Intelligence, Big Data Analytics, Object-oriented Programming

Experience

  1. Applied AIGC Engineer Intern

    Instameta
    03/2024 - 07/2024

    • Deployed and tested Stable Diffusion models to generate AI characters, videos achieved 2.5M daily views on TikTok with ComfyUI.
    • Managed multiple Docker containers within Linux on various PyTorch environments to ensure efficient resource utilization and integration of machine learning workflows. Developed a video processing model with Python based on Grounding Dino, SAM, and ProPainter to remove watermarks and subtitles from input videos.
    • Created Python web crawlers to gather 4000+ images from Pinterest and wrote scripts in Python and JavaScript for bulk production of AI videos. Managed to produce 300+ videos per day per GPU using the LCM model.

  2. Research Assistant

    University of Electronic Science and Technology of China
    10/2023 - 05/2024

    • Worked as a research assistant under Professor Tian Lan’s lab and conducted experiments on Few-shot Relation Extraction(FSRE). Designed algorithms to map the statement and relation label to the same space, and used contrastive learning to establish symmetric learning tasks. Achieved 96% accuracy on the downstream model when tested on the Wikipedia dataset.
    • Github: https://github.com/AONE-NLP/FSRE-SaCon

  3. Research Assistant

    Johns Hopkins University
    06/2023 - 08/2023

    • Worked as a summer research assistant under Assistant Professor Mr. Yinzhi Cao’s lab at the Johns Hopkins University.

  4. Machine Learning Engineer Intern

    Baidu Inc.
    07/2021 - 09/2022

    • Based on the PaddlePaddle platform, trained the YOLOv3 models with Python to conduct mask detection and generated prediction of test images. Attained 93% level of accuracy on the mask detection model.
    • Developed an interactive H5 visualization interface using HTML and JavaScript, providing real-time mask detection.