iOS Keyboards Intern @ Apple
May 2018 – December 2018
iOS Keyboards team member developing keyboard and autocorrect software for iPhone and iPad.
Developed a customer-facing system-wide feature that will ship in iOS to >100M customers. Responsible for both frontend and backend logic. Presented the feature to Apple's SVP Software.
Conjured an algorithm to measure hand dimensions using iPad's capacitive touch sensor data. Calculates hand height, span, glove size, and handedness using a single "handprint".
Researched machine learning techniques to improve keyboard typing accuracy. Developed an end-to-end pipeline including data visualization and labeling tools, implementation, and evaluation.
For Apple’s Weeks of Code (internal two-week hackathon), my colleagues Goutham Mani, James Magahern, and I developed Handprint, an app to quickly collect hand measurements during user studies. Users simply place their hand on iPad’s screen. Each finger’s width is captured on a separate canvas to improve accuracy. Measurements can be viewed right in the app or transferred to another app by scanning the QR code encoding these data.
I invented the algorithm that that computes hand height, span, glove size, and handedness from the raw capacitive touch data. Notably, the algorithm works in any orientation. Additionally, I developed the QR code data transfer mechanism and designed the UI.