Summary
Overview
Work History
Education
Skills
Publications
References
Certificates Projects
Personal Information
Websites
Timeline
Generic
Sean Lu

Sean Lu

State College

Summary

Dynamic AI Engineer Intern with hands-on experience in NLP and LLM development. Strong problem-solving abilities and collaboration skills utilized in creating impactful AI applications and optimizing performance through experimental analysis.

Overview

7
7
years of professional experience

Work History

AI Engineer Intern

Alibaba
06.2025 - Current
  • Applied advanced Natural Language Processing (NLP) and Large Language Model (LLM) concepts from Stanford’s CS224N coursework and state-of-the-art research to practical AI development.
  • Gained hands-on experience with Meta Llama3 and Alibaba Qwen LLM architectures, including source code analysis and integration via OpenAI and Alibaba APIs.
  • Developed and deployed multiple LLM-powered demos, including conversational role-play simulation, sentiment classification, entity extraction, and function-calling pipelines.
  • Engineered and modularized critical components (context generators, summarizers, LLM clients, and task utilities) for ExperienceMaker and AppWorld platforms using Python, leveraging advanced techniques in prompt engineering, Jinja templating, and context-aware AI agent design.
  • Designed and executed comprehensive experimental pipelines, benchmarking agent and model performance under diverse conditions (“with experience” vs “no experience”, prompt variants, and different LLM configurations) and successfully optimized run-time performance via parallel processing (ProcessPool, ThreadPool), error handling, and rate-limit management.
  • Conducted extensive empirical evaluation—analyzing multi-factor experimental results, improving LLM agent architectures (Best @k logic, prompt reinforcer, experience integration), and iteratively refining system prompts to maximize measurable AI task outcomes.
  • Produced actionable insights into the effectiveness of context and experience-enhanced AI agents using real-world and custom datasets, contributing to increased model accuracy and more robust agent performance.

AI and Software Developer Intern

Infinity AI
06.2024 - Current
  • Developed and maintained chatbots using Python, integrating with various APIs to enhance functionality.
  • Assisted in designing and implementing new features for AI applications based on user feedback and testing results.
  • Reviewed and debugged code to ensure the reliability and performance of AI solutions.
  • Enhanced technical problem-solving and coding proficiency.

Data Science Intern

Zhejiang University
06.2023 - Current
  • Worked on large datasets to identify trends using Python and R.
  • Developed and tested machine learning models to improve predictive accuracy.
  • Collaborated with a team of researchers to integrate data-driven solutions into ongoing projects.

Bioscience Intern

University of Texas MD Anderson Cancer Center
06.2018 - 05.2020
  • Experimental research in cancer biology and metabolism

Education

Bachelor of Science - Computer Science

Penn State University
State College, PA
05-2027

High School Diploma -

Army And Navy Academy
Carlsbad, CA
05.2022

Skills

  • Python, C, JS, C#
  • PyTorch
  • Git
  • NLP
  • SQL
  • Algorithms
  • Kubernetes
  • Docker
  • AWS
  • Debugging
  • Collaboration
  • Visual Studio

Publications

  • Lu S, Wang Y., Nonmetabolic functions of metabolic enzymes in cancer development., Cancer Communications, 20.1, 10/26/18, 38, 1, 63, 10.1186/s40880-018-0336-6, 30367676
  • Lee JH, Shgao F, Ling J, Lu S, Liu R, Du L, Chung J, Koh S, Leem S, Shao J, Xing D, An Z, Lu Z., Phosphofructokinase 1 Platelet Isoform Promotes β-Catenin Transactivation for Tumor Development., Frontiers in Oncology, 03/05/20, 10, 211, 10.3389/fonc.2020.00211, 32195176

References

  • Dr. Yinghui Xu, Co-founder, Infinity AI, Hangzhou, China, xuyinghui@fudan.edu.cn
  • Dr. Yan Lu, Institute of Translational Medicine, Zhejiang University, Hangzhou, China, yanlu76@zju.edu.cn
  • Dr. Paul Chiao, University of Texas MD Anderson Cancer Center, pjchiao@mdanderson.org

Certificates Projects

  • Rice University, Completed online course in Python programming offered by Rice Online Program.
  • ChatBot Program, Developed a Python-based AI chatbot that processes a file of medical publications and generates corresponding AI-generated titles for each article.

Personal Information

Citizenship: United States

Timeline

AI Engineer Intern

Alibaba
06.2025 - Current

AI and Software Developer Intern

Infinity AI
06.2024 - Current

Data Science Intern

Zhejiang University
06.2023 - Current

Bioscience Intern

University of Texas MD Anderson Cancer Center
06.2018 - 05.2020

Bachelor of Science - Computer Science

Penn State University

High School Diploma -

Army And Navy Academy

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