About Me

I am a Software Engineer in New York City working on Full-Stack Applications at Avanade, a subsidiary of Accenture and founded as a joint venture with Microsoft. My technical interests include iOS application development, Full-Stack web applications, and Internet of Things (IoT) systems. I have a deep appreciation for music, street photography, and fashion.

Throughout my experiences working for companies such as Viacom, Bond, to.be, Betaworks, and DoSomething, I have built functionality for projects including a dynamic advertisement configuration tool, clothing marketplace for user-submitted designs, and an interactive data-driven dashboard.

I recently completed my undergraduate degree in Informatics, with an emphasis in Human-Computer Interaction, with minors in Computer Science and Philosophy from Rutgers University in New Brunswick, NJ. My course work included Principles of Programming Languages, Data Structures and Algorithms, Web Design, Human-Computer Interaction, Philosophical Logic, Database Management Systems, and Computer Architecture. I served as President of the Rutgers Mobile App Development Club, coordinating workshops and mentor programs for students interested in applying Computer Science theory to iOS and Android platforms.

Feel free to send me an email and I will get back to you as soon as possible.



Betadrop is an iOS application that lets individuals and teams seamlessly get detailed feedback on difficult decisions. Built using Firebase, Alamofire, and Swift.


Connect Four is an iMessage application of the zero-sum game that can be played collaboratively with your friends. Built using matrix traversal operations and MessageKit.


Hoot, now defunct, was the first application I published to the Apple App Store. It was an iOS application that let students broadcast questions about classes and coordinate study groups. Built using Parse and Swift.


CoreVision is an iOS application that lets users take pictures of items and recognizes item names with confidence levels using Machine Learning. Built using the SqueezeNet Apple CoreML library, AVFoundation, and Swift.


FoodSmart is an Alexa Skill that requests foods and responds with nutritional information. Built using USDA Food Composition Database API, Alexa SDK, and Node.js.


Journal is a command-line application that allows users to create, read, update, and delete journal entries. Built using Flask, Peewee, and Python, while storing entries on an SQLite database.