JeongEun
Lee's
Virtual Resume.

Machine Learning Engineer

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about me

I am a Computer Vision engineer currently pursuing a Master's in Computer Science and Engineering at the University of California, San Diego, expected to graduate in Fall 2026. I have professional experience as a Machine Learning Engineer, with a strong focus on cutting-edge technologies and innovations.

Specializing in deep neural networks, I have experience in developing advanced machine learning models and algorithms that drive decision-making and operational efficiency. My academic and professional experiences are driven by a commitment to applying technologies to solve real-world challenges and innovate within the fields of AI and machine learning.

email

jeongeun3.24lee@gmail.com

website

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education

2018 - 2022

Bachelor of Computer Science and Engineering

Chung-Ang University (CAU)

Seoul, Korea

I initially pursued research in Operating Systems within Computer Science, specifically conducting research on the EXT4 file system to improve file defragmentation efficiency using multi-threading. However, after developing a music application that customized recommendations based on users' facial expressions and leading a project to build an internet shopping hub for people with low vision, I discovered my passion for resolving real-life challenges through computer vision techniques. This marked a significant shift in my academic focus and career paths, leading me to fully dedicate myself in machine learning techniques and computational problem-solving, where I realized the transformative power of technology.

2024 - 2026(Expected)

Master of Computer Science and Engineering

University of California San Diego

San Diego, CA

I am currently pursuing my Master’s degree in Computer Science and Engineering at UC San Diego, where my studies go deep into the foundations of machine learning techniques, including advancements in generative AI and Foundation Models. My studies not only focus on the technical development of these technologies but also explore their responsible implications, preparing me to contribute meaningfully to social diversity and inclusivity in the field. I am also working as a Student Researcher in Professor Pengtao Xie’s Lab conducting research on the application of Multi-Level Optimization techniques.

skills

Python
Machine Learning
Linux
Hugging Face
Tensorflow & PyTorch
Pandas
NumPy
Computer Vision

experience

  • Mar 2022 - Jul 2024

    Machine Learning Research Engineer

    Uniquify, Inc

    Santa Clara, CA

    As a Machine Learning Research Engineer at Uniquify, Inc, I specialized in optimizing deep learning models, significantly enhancing our capabilities in object detection and recognition. And show my technology adaptation by I proposing and implementing evaluation methods leading to accuracy improvement Lastly, I also led collaborative projects across international teams, including writing detailed technical documentation and presenting research findings at meeting

  • Feb 2021 - Mar 2022

    Machine Learning Research Intern

    Uniquify, Inc

    Santa Clara, CA

    I focused on advancing our deep learning capabilities and streamlining workflows. And led a project to optimize a tool for decomposing neural network models, facilitating a smooth handoff to the hardware team. This project included developing a user-friendly interface that reduced manual labor by over four hours per week. Additionally, I gained hands-on experience with end-to-end Object Detection, Recognition and Genrative models while optimizing for GPU (CUDA) inference.

    Feb 2021 - Mar 2022

    Machine Learning Research Intern

contact me

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JeongEun Lee

Computer Vision & Machine Learning Engineer

phone

858-373-8747

email

jeongeun3.24lee@gmail.com

LinkedIn

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