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Juntao Li
Architect Summer Intern @Arch Insurance Group Inc.
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WORK HISTORY
Architect Summer Intern @Arch Insurance Group Inc.
Raleigh, NC, US
Analyzed 432 applications in global Ardoq catalog and authored 20+ custom Gremlin graph database reports, identifying 91 misclassified assets and discovering 64 assets with no team ownership across 177 analyzed assetsDeveloped AI-powered \"Architect Bot\" with Angular frontend and AWS Bedrock integration with MCP server using Ardoq API.Built an open-source desktop application \"DocFlow AI\" using Flutter and bundled Ollama LLM, enabling local processing of OneNote entries into structured Excel data with 100% data privacy compliance.
EDUCATION
Cannon School
High School Student
University of North Carolina at Chapel Hill
Bachelor of Science - BS
ABOUT JUNTAO LI
I am a dedicated junior at the University of North Carolina at Chapel Hill, pursuing a Bachelor of Science in Computer Science and Mathematics with a minor in Neuroscience (GPA: 3.8). Proficient in Java and Python, with experience in JavaScript, C++, and SQL, I am passionate about solving complex problems through code. I have a strong ability to implement sophisticated algorithms and data structures in complex systems with the highest quality. Experience: Data Privacy Research Assistant at UNC Charlotte: Implemented advanced privacy protocols like RAPPOR, LDP, and ULDP, enhancing traditional privacy measures by 30% using large datasets such as the US 1995 census. Leveraged Linux systems for parallel computing, increasing computational speed by 5x. Dedicated over 50 hours to code review, optimizing data privacy mechanisms with Pandas and other statistical tools. Lead Full-Stack Software Engineer for Waestem Social Media (waestem.com): Led a team of four, coordinating development using Git and GitHub. Developed a social media platform using React, TailwindCSS, MySQL, and Flask. Integrated Google One Tap Authentication, enhancing user experience. Implemented AI recommendations using the ChatGPT API. Researcher and Author: Published a paper titled “Machine Learning Application on Prediction of Male Breast Cancer with PLCO Dataset” in the Journal of Student Research. Applied machine learning models on datasets with over 50k entries, contributing to medical research. Skills: Programming Languages: Proficient in Java, Python; experience with JavaScript, C++, SQL. Technologies: React.js, Flask, MySQL, AWS (RDS, S3, EC2, Lambda), Linux/UNIX systems. Concepts: Databases, Object-Oriented Design, Operating Systems, User Interface Design, Data Structures, Algorithms. I am enthusiastic about contributing to enterprise-grade cloud services and analytics. My experience with databases, object-oriented design, operating systems, Linux/UNIX, and user interface design positions me well for roles that demand technical proficiency and collaborative teamwork in agile environments. I thrive in solving complex problems by writing code and am excited about the opportunity to bring my technical expertise and passion for data-driven solutions to impactful projects.
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