Computer Science

Jingyi Zhang

1-858-***-**** ************@*****.*** linkedin.com/in/jingyizz6

EDUCATION

University of California, San Diego (GPA: 4.0/4.0) San Diego, USA Master of Science in Computer Science Sept 2024 - May 2026 Hefei University of Technology (GPA: 3.8/4.0) Hefei, China Bachelor of Engineering in Computer Science Sept 2020 - Jun 2024 WORK EXPERIENCE

UrsaTech Berkeley, USA

Machine Learning Engineer Intern Nov 2024 - Mar 2025

Conducted research on Large Language Models (LLMs), focusing on innovative methods to enhance model customization, task generalization, and fine-tuning efficiency for diverse real-world applications, including fine-tuning the LLaMA model for domain-specific conversational AI tasks.

Designed educational content on LLMs for high school students, including Jupyter Notebook exercises, JavaScript-based materials, and curated datasets with cloud platform support. Tianjin Key Laboratory of Visual Computing and Intelligent Perception Tianjin, China Research Assistant Feb 2024 - Sept 2024

Contributed as the second author to the paper 'WaterWave: Bridging Underwater Image Enhancement into Video Streams via Wavelet-based Temporal Consistency Field'.

Designed a computer vision AI prototype in Python using Pytorch to solve the problem of flickering effects in real-world underwater videos, achieving ~40% and ~30% improvements on DRUVA and UVOT400 datasets using aesthetic quality metrics (CLIP and NIMA).

Utilized deep learning methods, such as the atmospheric scattering model and 3D multi-scale hash position encoding to address the problem of incorrect flow estimation in underwater environments.

Leveraged linear algebra knowledge to demonstrate that inconsistency components primarily arise in spatial low-frequency but temporal high-frequency regions.

Laboratory of Multimedia Computing Anhui, China

Research Assistant Sep 2023 - Dec 2023

Created a computer vision AI prototype in Python using Pytorch to solve the problem of removing rain streaks from images, achieving state-of-the-art performance on multiple benchmarks, including 4 synthetic and 2 real-world public datasets.

Used advanced deep learning methods in computer vision, employing Restormer as the backbone, along with optimized self-attention mechanisms.

Nanhu Laboratory Zhejiang, China

Algorithm Engineer Intern Jul 2023 - Sept 2023

Implemented a BERT-based natural language prototyping in Python using TensorFlow to categorize sensitive data as personal information, achieving a 25% accuracy improvement.

Utilized SQL on large real-world proprietary unstructured and structured datasets to perform entity linking, document extraction, and automate database linking.

Leveraged teammates' diverse perspectives to address a shortcut learning issue through extensive data analysis. RESEARCH & ACADEMIC PROJECTS

Denture Customization Cloud Platform

Golden Award,13-person Team, Internet+ Student Innovation and Entrepreneurship Competition Jun 2022 - Nov 2022

Developed a denture customization service platform that streamlines denture model printing, data uploading and dental device management, leading to the software publication 'Denture Customization Cloud Platform' (No. 2022SR0758646).

Designed and optimized user-centric UX interfaces for login, personal dashboards, model management, and device management, collaborating with a cross-functional team of ML engineers, product managers, and designers to enhance usability, accessibility, and workflow efficiency. TECHNICAL SKILLS

Software: Python, C++, SQL, MATLAB, Java, Javascript, Tableau, AWS. Frameworks: Pytorch, TensorFlow, Keras, PySpark, LangChain, Spring Boot, Vue.js, Bootstrap.

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