CMU Language Technologies Institute

Software Development Research Assistant

• Programmed a new GUI to accommodate experimental trials. Integrated recording of audio and video and applied multimodal machine learning models. Built using Python.
• Quantified movement data through Logitech’s Brio webcam to record subject’s stuttering frequency under different stress conditions.
• Contributed extensively to the development of an IoT device that uses biological factors to detect periods of stress and remind people with stuttering problems to control their speech.

Heart n Spice

Intern

• Implemented a Chrome Extension in JavaScript that returned nutritional facts and a health rating from a recipe website page.
• Feature advised users of suitable recipes by parsing website data, analyzing the ingredients, and comparing recipe attributes to a user’s health profile.

MyVill

Intern

• Performed data collection in the form of reviews for after-school programs for the iPhone application MyVill by engaging directly with the Silicon Valley at community events.
• Guided an iterative cycle of user research for multiple features to discover pain points and possible solutions. Analyzed results statistically and presented weekly reports to the CEO.
• Designed the potential feature “Global Report Card,” which compared users across the world.

MedType

Stroke Detection Tool. Early stroke detection tool built using with machine learning k-nearest neighbors algorithm in Python. Returned an at-risk/not at-risk rating and tracked data over time to model statistical analysis.

Bakery Website

Responsive website. Bakery website built from scratch using HTML/JavaScript/CSS, jQuery, and Highcharts to create a responsive website.

CMU SCS Teaching Assistant

15-110 TA. Leading 30-student recitations and review sessions. Topics include Python, algorithms, efficiency, testing, data structures, testing, debugging, and recursion.