Working on the Growth Team to help implement features in C#, Typescript, and React that will drive more new paying customers (NPCs) across all of Rev's different service lines.

Used EEG dataset gathered from both healthy patients and patients with neurodegenerative diseases to design and implement an LSTM recurrent neural network in Tensorflow with the aim of classifying EEGs from future patients

Developed adaptive network defense utilities by modeling adversarial network attack and defense behavior in peer-to-peer networks through the application of coevolutionary algorithms

Designed and implemented a feature to be integrated into Akamai’s new Security Center platform that allowed users to schedule customized reports to be delivered to them offline in a daily, weekly, or monthly manner

Tested, debugged, and helped develop a web application used to configure a product from the network security department. Programmed in java and used/learned about other technologies used for web development such as Maven, Spring, Hibernate, SQL, and OracleDB.

Helped develop the API behind CityHome -- a project that focuses on creating ‘smart’ home furniture that is dynamic and can interact intelligently with a user in order to utilize a small apartment space for many purposes. Built a web app with a fellow researcher using Node.js and Express that communicated with ROS over rosbridge to monitor the state of the smart home.

Research aimed towards improving PRADA, a piece of software designed to analyze RNA Sequencing data efficiently. Contributed to the project by writing several python scripts to test and spot bugs in the software. The internship culminated in a presentation to the lab over the findings and data I gathered throughout the summer.