Richard Li

Data Engineer @ RBC

About

Rising sophomore @ UCLA majoring in Statistics and Data Science and minoring in Data Science Engineering (DSE), interested in geospatial engineering, software engineering and deep machine learning.

This summer, I'm focusing on:

  • Data Engineering Internship @ RBC
  • CS 32: Data Structures & Algorithms
  • Recruitment Prep: Blind 75

Projects

Embers

Best use of Gemini API, First Place Overall in FinTech Track @LAHacks

A platform that processes home videos to create insurance valuation reports, assisting in claims and recovery.

OpenCV, YoloV11, Google Gemini, Flask, Supabase, NextJS

View Project →

iAssist

Best use of Groq API @ devFest

Object detection vision assistant for real-time navigation using object detection, identifying obstacles, safe pathways, and providing audio guidance on smartphones.

OpenCV, Ultralytics, Groq, Flask, Supabase, NextJS

View Project →

Achieving Carbon Credit Accuracy Using Generative AI

National Research Council: Digital Research Award @BigDataChallenge

ML Model that leverages advanced Geographic Data (LiDAR) to improve precision in predicting carbon sequestration rates for global carbon credit programs

Rasterio, Python

View Project →

Skills

Programming Languages

JavaScript
TypeScript
Python
C++

Frontend

React
Next.js
Tailwind CSS
ShadCN

Backend

Flask
FastAPI
OpenCV
Node.js

Databases & Tools

MongoDB
Supabase
Git
Docker

Contact

Email: richardli1@g.ucla.edu

GitHub:github.com/dkyxhjj

LinkedIn:linkedin.com/in/richardli14