Sandra Tang
MIT '23 / Computer Science and Design
Former Google STEP Intern and Meta (Facebook) Technical Program Management Intern
MIT '23 / Computer Science and Design
Former Google STEP Intern and Meta (Facebook) Technical Program Management Intern
Seattle, WA (May 2022–August 2022)
During my first in-person and TPM internship, I coordinated planning and testing with stakeholders across 7 different teams to increase network and storage security. I also adapted to many unforeseen changes in the project, led meetings, organized teams for testing, wrote progress updates and weekly updates.
Remote (June 2021–September 2021)
During my first internship, I wrote FlumeJava functions to read, aggregate, compute, and write stats from a database for the internal Core ML labeling service. This required developing a parallel data-processing pipeline design and making informed feature and design decisions. I also added computed statistics to the front-end using Javascript following material design and Google accessibility guidelines.
Remote (June 2020–December 2020)
The summer after my freshman year of college, I wrote image classification machine learning algorithms (CNN, XGBoost, and Random Forest) in Python with up to 95% accuracy to categorize natural disaster damage and aid natural disaster emergency responders. I also worked with Amazon Elastic Compute Cloud, Tensorflow, Keras, Pandas, Numpy, Seaborn, and Matplotlib.
(March 2021–Present)
My friends and I created an Asian-American-targeted virtual coffee chat React web app. I led technical development for building our product and organized meetings with an itemized weekly agenda. Bamboo Chats was accepted to and flourished in Brown University's Breakthrough Lab (B-Lab) accelerator program and named one of the most promising startups to come out of Brown University by The Business Journals.
Javascript Data Visualization
Game development has seen me grow up. Ever since I was eleven years old, I've been developing games, experimenting in related fields, and sharing my creations. Many of my important milestones and personal growth can be seen through my games. This is the story of my life through a data-centric perspective of my game development history.
HackMIT 2020 iOS Heart Health App
HeartAcuity interprets your heartbeats and basic info with numerous machine learning models to predict your probability of having specific heart diseases. I wrote Random Forest and XGBoost regression models, tuned the hyperparamaters with GridSearchCV, and created visualizations of the results with Matplotlib and Seaborn.
MLH (Major League Hacking) Same Home Different Hacks (June 2020)
Quake Shake is an educational game that teaches kids earthquake safety in a fun and interactive way. It covers all major aspects of dealing with earthquakes, from preparation, staying safe during an earthquake, and dealing with the aftermath. I created Quake Shake in Godot after researching earthquakes and discovering that typical earthquake safety taught by schools is inadequate.
