Go to the "Projects" section to see the screenshots of my previous works! I promise that you will love them!
About
Hi! I am Lingxi Li (pronouncing as "Ling-She Lee"), a CS Master new grad 2024 with 2 years of industry full-stack software engineering work experience, looking for job opportunities, referral, career suggestions, and/or coffee chat.
I would happily be – your potential working colleague, your go-to project collaborator, your open-source project contributor, and a kind friend to discuss tech or project stack. Let me know how I can help!! :)
Work Experience
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Implemented full-stack dashboard web app using React (Next.js), TypeScript, Postgres, Jest, and CI/CD.
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Enhanced sales team’s data mining efficiency by 3x and improved opportunity matching and project location by 5x through development of fast, intuitive UI and advanced data visualization, significantly streamlining land acquisition project management and processing.
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Resolved CSV import issues stemming from under-maintained data sources by implementing robust data validation and error-handling suggestions, ensuring data integrity and reliability for downstream usage.
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Crafted custom UI component library tailored to meet unique business requirements, enhancing application consistency, user experience, and development efficiency.
Projects
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Revolutionized digital CV and portfolio creation experience by building full-stack web application using Next.js
(React), TypeScript, Postgres, LLM, Prisma, and Vercel. -
Crafted modernized landing pages and invitation pages to convert users effectively.
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A full-stack web application for healthcare, featuring the enhancement on patient understanding of their EHR clinical notes using AI through conversation. Currently shipped in a closed beta.
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Increased patient comprehension by around 50%, measured from our research experiment.
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Technologies used: React (Next.js), TypeScript, Python, WebSocket, Redis, Jest, ML, and NLP.
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An efficient dataset architecture in Python to improve processing efficiency for large-scale data.
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Saved researchers’ time by 60% on long-running jobs, decreased storage requirement by 90%, and reduced work repetition by 50%, measured by comparison between old and new approaches.
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Implemented a TypeScript SDK for accessing Smartsheet API with end-to-end, type-safe practice.
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Resolved the lack of typing and the support of schema declaration from the official JavaScript SDK.
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Enhanced production data safety and software development efficiency.
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Developed an open-source, user-friendly date picker UI component in React with TypeScript.
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Improved the user experience of date selection, resolved daylight savings time (DST) conflict with intuitive UI, and enhanced input efficiency with shortcut commands. Got 26 stars for the first version.
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Implemented an animated showcase website using React to describe features intuitively to developers.
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Replicated OpenAI ChatGPT web application for cost-efficient ChatGPT usage for my friends, using Next.js, React, Prisma, Serverless MySQL, and TypeScript.
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Built the support of streaming output from OpenAI to client side with Edge technologies.
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Made 17 contributions of 1800+ lines of Swift code to this open source project with 19k+ stars.
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Optimized user experiences by fixing UI bugs and improving interaction animations in SwiftUI.
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Made a full-stack responsive web application individually, enabling users to build modern portfolio websites (including CMS), using React and TypeScript.
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Crafted the back-end API, powering the front-end UI, using Node.js and Serverless MySQL.
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Built a full-stack web application, enabling people to trade pre-owned merchandise among their communities, using React and TypeScript.
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Developed a dedicated UI library individually based on Wuhuu’s design language for front-end developers to reuse React component across the entire application.
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Developed a flash-card application for Chinese students to learn English vocabulary, gaining more than 60,000 downloads and more than 18,000 users.
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Designed and developed this Android app using Java and XML.
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Implemented the back-end using MySQL and Serverless solution.
Education
Cumulative GPA: 3.94 / 4.0
Related courses: Machine Learning, Robotics, Algorithms, Natural Language Processing
Cumulative GPA: 3.80 / 4.0 | Major GPA: 3.89 / 4.0
Related courses: Data Structure, Algorithms, Operating Systems, Machine Learning
Volunteering
- Implemented a Variational Autoencoder (VAE) using Python, Keras, and Tensorflow for verifying prior results on cancer data recognition and replicating experiments on a new dataset, while resolving code issues from the original codebase.
Writing
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Built the experimental research platform for collecting annotation data from participants interactively using Next.js and TypeScript.
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Developed a researcher dashboard that could monitor the progress of participants and easily export experiment data in a analysis-friendly format.