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!

Hi, I’m Guangyao Li — a full-stack engineer with strong frontend leadership and a background in data and AI. I specialize in building fast, flexible, and intelligent web applications using technologies like React, Next.js, TypeScript, Django, and Java SSM. My journey began with building data pipelines and analytics tools at MSCI and Microsoft, where I developed a solid foundation in Python, SQL, and data engineering.

In recent years, I’ve focused on architecting high-performance frontends for AI-driven platforms — most notably at DrLambda, where I led the development of an AI content generation tool that transforms raw ideas into slides and narrated videos. I’ve worked on streaming rendering, export optimization, chatbot interfaces, and reusable design systems to enhance both reliability and user experience at scale.

Beyond strong engineering execution, I care deeply about creating products that feel intuitive and empowering. I bring a blend of frontend craftsmanship, data fluency, and AI integration that helps bridge backend intelligence with delightful UI. My goal is to build intuitive, intelligent user experiences — and bring that mindset to fast-moving teams at the intersection of creativity and technology.

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updated Resume

featured projects

Chatslide

Chatslide

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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