Guangyao's Portfolio

Crafting immersive Web experiences with Fullstack Web Technologies, including React, Next.js, Typescript, TailwindCSS, Node.js, Express, firebase, MongoDB, and more.

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about me

awesome beach

Welcome!

My name is Guangyao Li. I'm a passionate front-end developer with expertise in Web development technologies like HTML, CSS, JavaScript, SQL, and React. I've successfully completed Web projects using frameworks such as NextJS, Django and Java SSM, showcasing my ability to deliver robust and dynamic applications.

In addition to my proficiency in front-end development, I have a strong foundation in Python programming and experience in data engineering tasks. I'm well-versed in Python's scientific computing libraries like Numpy, Pandas, Matplotlib, Seaborn, and Scikit-learn, enabling me to handle complex data analysis and visualization tasks effectively.

Currently, I'm dedicated to expanding my knowledge in full-stack development. My goal is to become a developer who excels not only in solid programming skills but also in analytical thinking, enabling me to create immersive and user-centric experiences.

If you're seeking a developer who is committed to crafting seamless user interfaces, leveraging data insights, and keeping up with the latest technologies, I'd love to connect and explore how I can contribute to your team's success.

connect with me

updated Resume

featured projects

DrLambda Platform

DrLambda Platform

Led front-end development for GenAI tool for transforming documents, images, and links into slides, videos, and social media posts.

Implemented responsive card and list layouts, customizable themes, and a user-friendly chatbot to enhance content creation process.

Focused on intuitive, user-centered design, driving positive feedback and increased platform engagement.

GenAILLMReactNext.JSCSSTypeScriptResponsive DesignFigmaEdTechStartup
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MediCode AI Copilot Chatbot

MediCode AI Copilot Chatbot

Developed an AI copilot chatbot for medical coding.

AI copilot for medical coders to minimize errors, maximize efficiency, and boost revenue of healthcare provider office. Helps the healthcare professional determine the most accurate and comprehensive set of codes, so the claim made to the payer is not denied and to boot revenue.

Built with JavaScript, React, TailwindCSS, MaterialUI, integrated with GPT-4 chat completion API empowered with well-designed prompt.

ReactJavaScriptTailwindCSSMaterialUIChat-GPTOpenAIChatbotAIMedicalTechHackathon
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Enhancing MSCI’s Anomaly Detection Workflow by Integrating Machine Learning into Existing Financial Technology

Enhancing MSCI’s Anomaly Detection Workflow by Integrating Machine Learning into Existing Financial Technology

Anomaly Detection Workflow: Overhauled existing Anomalous Data Detection workflow. Improved overall precision by codebase profiling, incorporating new Data Cleaning methods and Machine Learning algorithms

Customizable ETL Module: Implemented a modularized and cacheable Data Preparation and Loading process module with Python, reducing execution time by 35% and increasing execution stability by 20%

Algorithm Evaluation Pipeline: Developed a solid Algorithms Analysis and Evaluation Pipeline, increasing detection accuracy by 25% with fewer false alerts and lowering the cost of inspecting suspicious data.

Data AnalyticsPythonData EngineeringMachine LearningStatisticsJavascriptNumpyPandasMSCIFinTech
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