+ Used MongoDB, Express, React, and Node.js to create a full-stack multinational telehealth web application with plans to roll out to patients and therapists in Honduras and Kenya

+ Integrated telehealth app with the Twilio API for real-time communication between patients and therapists using Whatsapp, which offers unlimited free data, reducing the cost burden imposed by restrictive mobile data caps in Honduras and Kenya

+ Created an IVR system with AI text-to-speech functionality in conjunction with a therapy app for veterans using Azure function apps to utilize the power of cloud computing in order to make our app more secure and reliable

+ Enhanced telehealth app’s reliability by using the Agenda cron scheduler to offload the task of sending messages through Twilio by simplifying the process of sending concurrent, repeated messages to users in different timezones

+ Led the refactor effort in migrating the codebase from an outdated web framework to a modern, easier-to-manipulate web application framework

+ Helped build consumer-facing features on the frontend and manipulated the backend to fit new design schemas to enhance the user experience

+ Implemented authentication features in the frontend to make interactions within the web app safe

+ Collaborated with study researchers and used tools like GCloud’s Google Kubernetes Engine and Celery to tackle major Fitbit API syncing issues for study participants

+ Designed feature flags logic using Angular services and Django API endpoints allowing developers to create multiple versions of the app with unique functionality for each concurrently running study or cohort

+ Created a notification center page to alert users of missed journal entries or missed milestones with read and unread status

+ Built feature flags model form in the HeartSteps dashboard admin page allowing developers and study researchers to define feature flags across entire studies, cohorts, or even at the individual participant level

ELP is a program for the top 25 entrepreneurial students in Michigan across all majors and years, involving personalized mentorship, treks, and education.

https://cfe.umich.edu/elp/

+ Created, and led the development of a new efficient data analysis tool using relational databases and REST APIs

+ Conducted feature scaling, feature selection and normalization on user data to feed a machine learning classification algorithm