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Florence Li

Developer + Prototyper, and UX Designer

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Food Delivery Platform

Food delivery platform allows users to browse menus, place orders, and have their favorite meals delivered right to their doorstep. With real-time order tracking, secure payment options, and a wide variety of cuisines to choose from, the platform makes it easy for users to enjoy restaurant-quality food from the comfort of their homes.

Full-Stack Ride-Sharing App

The ride-sharing app is designed to connect passengers with drivers for convenient, on-demand transportation. Users can easily request a ride from their current location, view available drivers nearby, and track their ride in real time.

Music Streaming Site

The Music Streaming Site is a Spotify-like platform where users can browse, search, and stream music seamlessly. It features curated playlists, song recommendations, and a user-friendly interface. The admin panel allows administrators to manage content and upload tracks

Machine Learning Error Analysis with AMEX

This project focuses on performing detailed error analysis for machine learning models. The goal is to identify patterns in model performance by analyzing predicted confidence scores and clustering confidence. Through visualizations and statistical insights, the project investigates the distribution of errors

Hi there

I'm Florence Li, currently I base in California My projects include web/mobile development, ml and nlp. Looking for a software engineer job!

In my spare time I like to play the guitar and video games , and I enjoy building efficient, scalable applications and am always eager to learn new technologies. I’m excited about opportunities where I can contribute to impactful projects, collaborate with talented teams, and grow as a software engineer.

Send me a message
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Reading List

JavaScript: The Good Parts
Book 1
I Origins
I Origins
The Lean Startup
Book 3
Data Engineering
Book 1
CSS: The Definitive Guide
Book 2
1989
Book 3

My Skills

Get In Touch

Want to chat? Just shoot me a dm! and I will respond whenever I can.