I built something kind of cool. If you haven't heard of Pigeon yet, you probably will soon. We're a Y Combinator backed fintech startup having helped over 50,000 people across the world move more than $20 million in loans with their friends, family and loved ones.I am currently working on building the technology to improve the uncomfortable dynamic of mixing money with our relationships. It shouldn't be difficult or stressful to make a loan with someone you trust.Pigeon is the world's first global, do it yourself, peer-to-peer lending platform aimed at making loans simple & easy for friends, family, and loved ones.

During my time at Intuit, I contributed significantly across multiple teams, including the Information Security Research & Development, the offensive security team War Machine, and the Intuit Data Protection Services team. I led the development of "Cartwheel," a secrets management tool enabling automatic rotation of sensitive data like passwords and keys, enhancing security and developer productivity. Additionally, I spearheaded the expansion of War Machine's automated testing framework, growing it to over a thousand concurrent exploit detection mechanisms and saving over $1.7 million in preemptively patched vulnerabilities. I also developed APIs and interfaces for scanning and detecting sensitive information within Intuit's global data resources, benefiting thousands of engineers.My expertise grew to encompass a broad range of technologies and best practices, including React, Docker, AWS Serverless stack, Node.js, and software architecture & design. I utilized AWS Lambda, IAM Roles, and various other tools, presenting my work to Intuit executives and earning praise from the Chief Security Officer for the significant impact of my projects. My efforts not only fortified Intuit's security infrastructure but also set new standards for sensitive information management and security practices.

During the summer of 2017, I worked in the Data/Infrastructure department at Pinterest. As part of the Visibility team, I learned to utilize tools such as Kafka, Apache Spark, and Scala to solve "big data" issues facing Pinterest. Upon arrival at Pinterest, I was delegated one project to complete for the summer, after completing that project four weeks ahead of schedule, I was give two more tasks. Both of my initial two projects involved me converting Pinterest's Storm topology to Apache Spark, coded in Scala. These projects significantly improved Pinterest's capacity to store data and reduced the time in which it takes to access/write that data.A third and final project was given to me by a group of senior engineers at Pinterest. I was tasked with creating a real-time release monitoring system which would allow Pinterest to better understand the problems associated with Pinterest app builds and provide early detection of potential anomalies with a new release. This project was envisioned, created, and deployed in approximately two weeks, and is now the foundation for real-time bug detection at Pinterest.

I joined the Snow Day Learning Lab to assist Dr. Nathan Holbert and his doctoral students with their research project, "Bots for Tots". The Snow Day Learning Lab allowed me to acquire extensive knowledge about the manner in which child cognition interacts with technology, all while challenging me to inquire about the ways in which I can contribute to bridging the gender and racial gap within the computer science field.Throughout my time in the Snow Day Learning Lab, I attended weekly meetings among lab members to discuss current issues plaguing the educational sector of the larger computer science world. In addition to my time spent deliberating with lab members, I frequently traveled to Greenwich Academy and Teachers College Community School to obtain qualitative data relevant to the "Bots for Tots" project.

Assisted Dr. Caitlin Kelleher in her research regarding youth interaction with the software Looking Glass. Acquired basic knowledge of machine learning and human-to-computer interaction concepts. Conducted qualitative and quantitative research that consisted of observational notes that improved the Looking Glass interface and features.

Provided assistance in running organizational and logistical day-to-day operations for a Charlotte non-profit, the YWCA, on behalf of Bank of America.Successfully orchestrated two camps for socioeconomically disadvantaged youth.Attended Bank of America’s 2015 Student Leadership Conference in Washington D.C.Presented a Prezi to various Bank of America executives at the end of the summer, outlining my accomplishments and achievements during the course of my internship.