June 2020 - August 2020
At Capital One, I learned a lot about different technologies. I Coded AWS lambdas in Python that communicated via HTTP, used CI/CD tools (Jenkins) & Docker to automate deployment, and I worked with AWS, NoSQL, IAM, Git, Docker, Linux CLI, Kibana & unit/acceptance tests to create a data quality pipeline
April 2020 - Present
At Columbia Virtual Campus, I managed a team to develop the frontend/backend of the CVC website while working closely with a design and communications/outreach team. I also learned a lot about ReactJS, NodeJS, Firebase through programming the website. While managing the events/socialize team, we reached milestone of 200 unique viewers on a weekly basis.
July 2020 - Present
More coming soon.
August 2019 - Current
After my internship at FPoli, I was offered to work part-time while at Columbia University. Currently, I work on various projects including two factor authentication system, data processing, analyzing complex and simple runtimes, and other miscellaneous tasks.
At FPoli, I created a testing suite using PHPUnit and Selenium. After that, I took the initiative to change the model component of their MVC configuration from client-sided data processing to server-sided processing. In addition, I coded some frontend designs for their login portal such as HTML forms for forgot password, create account, or login as well as the SQL and backend code.
Along with CIS 400, aiding a non-profit organization (Pathways) was a requirement. With this internship-like position at Pathways, I worked under Aaron to help with planning and executing a small project in the IT department.
July 2015 - August 2015
During this internship, I learned how to 'code' phone applications for iPhone, Android, and Windows. We used Cordova and Phonegap to make our code in HTML and convert it to the correct API.
I was given the opportunity by Professor Hallenbeck to help digitize the library by exploring oprtions through Access Database manager. Although not explicitly used in this position, my knowledge of MYSQL and database concepts helped in this process.
In this paid summer research opportunity, I used Python to investigate the use of machine learning in classification of particle decays. This included making graphs with Python and analyzing these graphs to get some physical meaning. We used methods like kNN and trees.
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