hi there! i'm tiffany!

mit '22 | software engineer

interesting factoids about me:

i currently study computer science and humanities and mathematics at mit.
i am incredibly interested in product design and user experience, best shown with my internships at facebook, where i built a new feed for their marketplace, and ultimate software, where i helped create ultimate's new design system.
my research interests lie in the intersection of human-computer interaction and artificial intelligence, as best shown with my research at csail, where i am building an end-to-end user interface to test nlp model accuracy. i also did similar work at semantic machines, where i built a decision tree and user interface to make crowdsourcing data easier.
at mit, i am part of the think committee, where i select several research project proposals from high school students to mentor and fund their research. i also am a current teaching assistant for 6.042 (math for computer science) and a past lab assistant for 6.009 (fundamentals of programming).
in my free time, i write short stories and poetry. i also love traveling, trying new restaurants, and going for hour-long walks around the city.

work experience

facebook

intern | jun '21 - aug '21 | san francisco, ca (remote)

i worked as a software engineering intern at facebook. there, i built and analyzed several ui components to raise awareness of the onsite checkout feed in the shops tab, resulting in more engagement with the feed.

mit department of electrical engineering and computer science

teaching assistant | feb '19 - present | cambridge, ma

i am a current teaching assistant for the mathematics of computer science (6.042) class at mit. i was also a lab assitant for the fundamentals of programming class at mit.

microsoft - semantic machines

microintern | jan '21 - feb '21 | boston, ma (remote)

i worked as a software engineering microintern at microsoft semantic machines. there, i built a decision tree to predict the validity of computer-generated code from user inputs for a virtual assistant.

salesforce

intern | jun '20 - aug '20 | san francisco, ca (remote)

i worked as a software engineering intern at salesforce on the ui platform, quality systems team. there, i developed a browser plugin that automatically generates Javascript Object Notation code to create new page objects for web components.

ultimate software

intern | may '19 - aug '19 | weston, fl

i worked as a software engineering intern at ultimate software on the design language system team. there, i designed navigation bars, page templates, and web components such as tooltip and banner for teams across the company to consume.

jane street

insight intern | jan '19 | new york, ny

i worked as an insight intern at jane street for a week during my school's winter semester. there, i built an automated bot to trade in a simulated stock market.

morgan stanley

intern | jul '18 - aug '18 | new york, ny

i worked as a technology intern at morgan stanley, wealth management. there, i developed two internal web applications, trak and seekr, which track developed websites as they go through different testing environments.

museum of natural history

intern | oct '16 - may '17 | new york, ny

i interned in the exhibitions department of the museum, where i built exhibits for a year. one ended up in the senses show, showcasing how several animals see differently than humans and why.

interested in my resume? here it is!

projects

portable violin

my team and i built a violin on a glove. i specifically worked on building the main glove and refining the code.

arduino

techx application viewer

my team and i developed an interface to allow committee members to easily read applications for think and xfair (a conference at mit) and accept/reject applicants.

react, mongodb

stay notified cambridge

my team and i made an interface for the cambridge city council to notify its constituents about meetings being held.

vue

virtual activities midway website

i helped techx make a virtual activies midway interface so that clubs and incoming freshmen at mit can link together, specifically the filter function for the different clubs.

react

fearlesslygirl app

i helped fearlesslygirl, an organization dedicated to inspiring girls to take on the world confidently and fearlessly, to build the hangout section of their new app.

react-native |

think website

i redesigned the front-end of the mit think website to look more modern and sleek.

angular, bootstrap

assassin game organizer

i worked with a team to develop an assassin's game organizer. a user can register and start/join existing assassin games. the app does all administrative parts of the game, such as randomly assigning targets and administering a way to mark deaths.

flask, javascript, bootstrap, sql databases |

mario party online game

i worked with a team to develop an online version of mario party. two players can play simultaneously, going across the board and playing minigames to earn/lose coins. players can also continue old games from the home page.

flask, javascript, foundation, sql databases |

safari zone game

my partner and i developed a game in processing simulating the safari zone minigame found in many main pokemon games. players can choose their character and catch pokemon, collecting them all in several safari zone habitats.

processing |

spell checker

my partner and i developed a spell checker. by inputting text, the program checks each word with the dictionary and, if the word is not found, spell checks it. the user can also respell-check words.

java |

want to see more? check out my github.

research

csail, caml and visualization groups

i wam working on a joint project with the caml and visualization groups in making a end-to-end user interface for users to apply transformations to test sets to test accuracy of nlp models.

python, javascript

mit media lab

i built an api to retrieve data (e.g. lightning data) to visualize on a laser-generated globe. (yes, it was huge!)

flask

regeneron research

i predicted gentrification in nyc neighborhoods using public housing data from 2003 - 2017. i inputted final sale prices of houses in gentrifying and non-gentrifying neighborhoods into the cox proportional hazards model, and trends allowed me to see what neighborhoods are most likely to gentrify next.

scikit-learn, pandas |

gstem research

i predicted housing prices for many unsold homes in new york city with regression models in machine learning. using published data from zillow, i was able to predict the prices of unsold houses to improve zillow's current algorithm.