• Worked on the reCAPTCHA team.

• Created a program in Java and Python to solve image select challenges to evaluate the threat of machine learning attacks.

• Using a variety of open source computer vision algorithms, as well as using a knowledge graph model, the program was

able to reach a 53% pass rate averaging 12 seconds per challenge, identifying the possibility of a real threat.

• Identified areas of weakness and evaluated methods of improvement to defend against machine learning attacks.

• Created an Automation Testing framework using Selenium in Java that was data driven through a PostgreSQL Database implemented using Hibernate, Spring JPA, and Spring DI to be able to test user experience on Angular powered pages.

• Implemented a tagging feature using AngularJS and Scala to be able to group Call Detail Records and be able to index and search for tags using Elasticsearch Queries.

• Completed stories/defects that involved managing, fixing and modifying Scala, JavaScript, and HTML code.

Used Splunk log analysis/correlation system to assess possible security issues by users within the Duke network.

• Provided feedback on the IDS/IPS systems to assist in tuning the systems for better detection and reporting rates.

• Properly took care of phishing emails that target those on the Duke network by blocking the IP source as well as restricting access to the phishing site as well as creating an alert in order to spread awareness.

Held office hours. Graded assignments and tests. Aided in teaching a recitation section separate from lecture.