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Zhairui Shen(Laurent)

Email: century8613@gmail.com | admin@szr.hk | Phone: 267-626-5377 | Website: https://szr.hk/me/en/

Education

Arcadia University — Glenside, PA, USA

2023.07 - 2025.05 (expected), Mathematics and Computer Science, Bachelor of Science, Arcadia University (Official 2+2 Program) (GPA: 3.87/4.0).

Research field: Artificial Intelligence, Web Applications, Operating Systems, Data Structures, Network Security

Jiangsu University — Zhenjiang, Jiangsu, China

2021.09 - 2023.07 (expected), Mathematics and Applied Mathematics, Bachelor of Science, Jiangsu University (GPA: 3.66/4.0).

Skills

Programming Languages: Python, Java, JavaScript, HTML, PHP, AngularJS, Dart

Software and Tools: VsCode, Android Studio, Github, MATLAB, TensorFlow, Docker

Languages: English (Fluent), Mandarin (Native)

Internship Experience

Alibaba — Nanjing, China

Artificial Intelligence Intern — June 2024 - August 2024

  • Constructed an LLM model for generating novels
  • Developed and optimized machine learning models, improving prediction accuracy.
  • Conducted data analysis to streamline training processes, reducing training time by 20%.
  • Collaborated with cross-functional teams to deploy models into production, enhancing customer experience.

Academic Projects

Personal website (https://szr.hk)

  • A comprehensive platform that currently offers various services, including office applications, artificial intelligence tools, and academic resources.
  • Services provided include office platform, LLM model chatbot similar to ChatGPT, scholar research platform that shows research results from projects I have worked on, and an email platform on which users can register their own email account with a “@szr.hk” extension.

Novel generating model

  • Fed a pre-trained model, Qianwen-2-7b with data that I collected and cleaned to fine tune the model.
  • Resulting performance generating short novels has been excellent.

Improving the accuracy of LLM models in media generation

  • Optimized the architecture of Transformer models to improve the accuracy of text-to-image and text-to-video generation, while accelerating training and reducing computational costs.

Delivery App Development

  • Collaborated with a team to develop a phone app for a non-profit organization, “Caring For Friends.”
  • Features of the app allow for both administrators and delivery drivers to run a powerful food delivery system.

Privacy policy analysis by LLM and RAG

  • Applying LLMs and RAG to answer critical privacy and security-related questions from a dataset of privacy policy documents.

Honors and Awards

Top 1% Team Recognition,, National Cyber League (NCL) — October 2023

Honorable Mention, Mathematical Contest in Modeling (MCM) — February 2024

Top 5% Team Recognition,, National Cyber League (NCL) — October 2024

Top 10% Team Recognition,, Consortium for Computing Sciences in Colleges (CCSC) programming contest — November 2024

Top 10% Team Recognition,, International Collegiate Programming Contest (ICPC) — November 2024

Publications and Presentations

"Exploring the Architecture and Application of Transformer Models in Natural Language Processing and Media Generation". Abstract accepted by ACM, October 2024 for future publication. Research findings were also presented by poster at the October 2024 CCSC conference.

"From Data Trends to Privacy Insights in Mental Health Apps: a LLM-Powered Approach". Abstract has been accepted by ASEE. The related manuscript is anticipated to be submitted in January, 2025.

Extra-curricular Activities

  • I participated in many photography contests and won several awards. I have also organized an active photography club.