Azure Portal Cloud Native Experiences team: Azure Fleet Manager, Azure Kubernetes Service, Azure Container Instances

Azure Machine Learning Core Web Experiences UI team

Rutgers Energy Storage Research Group- Researched energy efficient flexible electronic devices- Designed and printed PCBs using Autodesk EAGLE and CircuitPro PM- Gathered and analyzed available research data on current flexible electronics from various sources  - Created different experimental methods, identified the pros and cons of each method, and ran experiments to determine the best method  - Collaborated with multiple engineering departments  - Evaluated and sourced product components from around the world

- Added security features to an internal tool called Web Reader which allows users to query customer information from the databases- Limited which users could export sensitive customer data- Enhanced logging onto a tool called Sumo Logic to keep track of query information and information on exporting query results- Started migrating the project to a modern tech stack (Javascript, ASP.NET, C# to React.js, Node.js, Java / Spring Boot)

InternHacks is a six-week program that combines the best of a tech internship and a hackathon. Students receive mentorship from tech industry engineers, designers, and product managers, build community & network with their peers through project collaboration.- Created a mobile application and website called Ample with a team of 3 people using React Native, HTML, CSS, and Javascript with a Firebase backend. - The mobile application allows users to look up nearby food banks and find out what food banks are in need of and what they have stocked. This allows users who want to donate to food banks find out what exactly is needed and users who are in need of resources find the food bank that meets their needs.- The website allows food banks to update their inventories so that it is accurately displayed on the mobile application. It also displays information about our mission and a page to contact us.- Achieved Best Overall, was named Most Likely to Start a Startup, and was the Featured Projectat the end of the program.

mmWave-based Activity Recognition Project:- Researched millimeter waves and experimented with a mmWave sensor and configuration program manufactured by Texas Instruments- Used mmWaves to detect various gestures and activities by extracting the raw data produced by the sensor - Implemented a machine learning algorithm to classify different movements and gestures