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<section class="text-start">
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<h5 style="margin-top: 2em; margin-bottom: 1em;">ABOUT</h5>
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<P class="my-3 " style="line-height: 2.2em;">
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Hi, I&apos;m I am a undergraduate student majoring in computer science and data science.
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I am interested in the field of supervised learning and data analysis.
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Hi, I&apos;m interested in the field of supervised learning and autonomous driving.
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I am planing to work as software engineer after graduate.
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</P>
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<a class="btn btn-outline-dark btn-lg" style="margin-top: 2em; margin-bottom: 3em;" target="_blank" href="https://docs.google.com/document/d/1cnN7n3PdhLvAEyB-5_1wX4_NWe3BGmJnIVASFusKoSc/edit?usp=sharing" role="button"> Resume</a>
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<a class="btn btn-outline-dark btn-lg" style="margin-top: 2em; margin-bottom: 3em;" target="_blank" href="https://drive.google.com/file/d/14sAVOhbl-99k0W4yKfSjSqlksUSSRNov/view?usp=drive_link" role="button"> Resume</a>
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</section>
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<h5>Amazon - Software Engineer Internship</h5>
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<p><small>May 2022 - Aug 2022</small></p>
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<h5>Tharzen - Software Engineer Internship</h5>
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<p><small>May 2024 - Aug 2024</small></p>
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<ul style="margin-left: 5%;">
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<li>Developed Changelog feature for current brokerage platform, INLT.</li>
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<li>Learn and use object programming language TypeScript and GraphQL for backend and React for frontend.</li>
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<li>Made high-level and low-level design documents incorporate feedback to improve solutions.</li>
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<li>Designed and developed a reversible PHP interpreter based on bidirectional evaluation, leading Test-Driven Development (TDD) to ensure robust feature implementation and comprehensive testing.</li>
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<li>Implemented interpreter functionality using Rust classes and traits to enhance the core logic and maintainability of the reversible PHP interpreter.</li>
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</ul>
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</li>
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<h5>Spark Education Group - Software Engineer Internship</h5>
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<p><small>Aug 2023 - Dec 2023</small></p>
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<ul style="margin-left: 5%;">
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<li>Designed and developed a Python application utilizing longchain embedding, chat completion, and vector store, allowing users to interact with the project codebase effectively.</li>
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<li>Led the deployment of a large language model platform using React, Node.js, Python, FastAPI, and PostgreSQL, integrating new features such as user statistics, top prompts display, and custom masks.</li>
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<li>Drove database and API enhancements, contributing to a 30% increase in weekly active users and achieving a peak of 185 daily active users.</li>
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<h5>Inspur - Software Engineer Internship</h5>
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<p><small>Dec 2020 - Jan 2021</small></p>
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<h5>Amazon - Software Engineer Internship</h5>
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<p><small>May 2022 - Aug 2022</small></p>
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<ul style="margin-left: 5%;">
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<li>Involved in the group of building an E-commerce Data Service platform using spring boot structure to provide data monitoring and analysis services for decision making.</li>
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<li>Contributed to automatic backup and maintenance of the database by Linux script.</li>
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<li>Created a small platform demo, a grade Management System providing login and data visualization options using spring boot.</li>
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<li>Designed and implemented the backend API for the changelog function using Node.js and GraphQL, enhancing user interaction with changelog data based on permissions.</li>
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<li>Created GraphQL schema, field resolver, and record resolver for seamless data mapping and CRUD operations, ensuring high performance and scalability.</li>
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<li>Managed the end-to-end development cycle, from design documents and UI wireframes to code implementation, code review, and deployment.</li>
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<div class="my-4"></div>
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<ul class="list-unstyled">
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<h5><a href="https://github.com/Li-Bo-github/ClaimTrust-A-Propagation-Based-Trust-Scoring-Framework-for-Retrieval-Augmented-Generation-Systems>ClaimTrust – A Propagation-Based Trust Scoring Framework for Retrieval-Augmented Generation (RAG) Systems"</a></h5>
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<p><small>Professor: Heng Ji, Aug 2024 - Dec 2024</small></p>
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<ul style="margin-left: 5%;">
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<li>Developed a graph-based trust scoring algorithm to evaluate document reliability, improving RAG system response quality by 11.2%.</li>
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<li>Processed 814 articles to extract claims and classify relationships for trust propagation.</li>
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<li>Optimized claim extraction and relationship classification, reducing computational complexity from O(n²) to O(n).</li>
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</ul>
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<h5><a href="https://github.com/Li-Bo-github/GEMstack">Auto parking with Gem e4 Vehicle</a></h5>
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<p><small>algorithm developer</small></p>
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<ul style="margin-left: 5%;">
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<li>Designed and implemented image recognition and calibration transposition algorithms using lidar and camera sensors to enhance parking system accuracy.</li>
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<li>Developed and deployed an MPC trajectory tracker and hybrid A* route planning for autonomous vehicle navigation.</li>
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<h5>Cloud-Based IoT Infrastructure for Vehicle Monitoring</h5>
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<p><small>AWS developer</small></p>
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<ul style="margin-left: 5%;">
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<li>Designed and deployed scalable IoT infrastructure using AWS IoT Core, AWS GreenGrass, and AWS IoT Analytics to monitor data from a fleet of 120,000 simulated vehicles.</li>
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<li>Implemented AWS Lambda functions to analyze CO2 emissions and return diagnostics, utilizing the publish-subscribe MQTT model for seamless device communication.</li>
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<li>Built data visualization pipelines with AWS Firehose, AWS Glue, and AWS Athena, leveraging AWS Sagemaker Jupyter Notebooks for insights.</li>
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