Ryan Chew
Artificial Intelligence
Data Science
Hey! I'm Ryan!
I am a curious and ambitious high school junior based in the Bay Area. I aim to pursue a degree in computer science after high school and specialize in computer vision. I'm currently exploring a wide range of fields and applications, widening my skillset and perspective along the way. So far, I have obtained certificates from top data science and ML courses from IBM and MIT and a computer vision course from Great Learning. With that knowledge, I have completed numerous projects and even competed in multiple hackathons! I am eager to learn even more and better the world through new research and the development of practical and impactful AI solutions. My projects typically revolve around the field of medical imaging, competing regularly on Kaggle. When I'm not hacking, you can find me practicing kung fu or playing piano.
Read about my journey below and feel free to reach out to me if you would like to be part of it or support me!
Projects
Breast Cancer Detection
Deep learning model for early cancer detection
Soccer Detection
Real-time player and ball tracking system
Road Recognition
Autonomous driving vision system
Coronary Calcium Segmentation
Medical imaging segmentation model
Fitness Tracker and Workout Planner
Rep tracker and workout generator
Regex Molar Mass Calculator
Easily obtain molar mass calculations from chemical formulas
Hotel Booking Cancellation Predictor
Traditional ML techniques to predict whether a customer will cancel their hotel booking
Experience
The Ame Project
Lead Web Developer
Aug 2024 - Present
Designed, developed, and deployed a website for a nonprofit organization.
Lead Web Developer
Built the website using ReactJS and Vercel. Collaborated across departments to meet deadlines and optimize technology choices.
Project Empower
Machine Learning Engineer Intern
July 2024 - Present
Collected and preprocessed data for artificial intelligence models.
Machine Learning Engineer Intern
Web scraped over 600 rows of data using Selenium. Cleaned and formatted data using Pandas for analysis and model training.
NextStep Education
Software Engineer Intern
Aug 2024 - Sep 2024
Enhanced the performance of a recommendation system.
Software Engineer Intern
Increased recommendation accuracy by 30% by implementing hybrid search and collaborative filtering. Optimized system performance using CUDA, reducing processing time by 25%.
MIT Policy Hackathon
Policy Hackathon Data Scientist
Nov 2023
Developed predictive models to address healthcare policy challenges.
Policy Hackathon Data Scientist
Processed over 30 GB of data on immigrant healthcare access. Led a team to complete a policy memo within 72 hours, presenting a solution for healthcare accessibility.
MIT Data Science Hackathon
Data Science Hackathon Top 10
Feb 2023
Created a machine learning model to predict customer satisfaction.
Data Science Hackathon Top 10
Cleaned and prepared large datasets using PCA and one-hot encoding techniques. Developed an ensemble model and ranked 6th in the competition.
Stanford WiDS Datathon
Datathon WiDS Top 50
Mar 2023
Built an ensemble machine learning model for weather forecasting.
Datathon WiDS Top 50
Placed 49th out of 700 competitors. Combined CatBoost, XGBoost, and AdaBoost to improve accuracy by 74%, achieving a 0.746 RMSE score.