⏵ Developed a multi-threaded program that collects over 100 million messages a month from threat actors on social media. Utilizes RabbitMQ to load balance messages across 4 servers to handle the data ingestion load⏵ Created an AI-powered program to monitor ransomware gangs, decreasing the time to detect new ransom events⏵ Improved internal tool for scanning the dark web by enhancing alerting and granularity of parsing errors

⏵ Leveraged NYU’s supercomputer to fine-tune large language models on custom conversational datasets⏵ Built a pipeline on top of Meta’s Mephisto project to gather conversational data between agents. This included multiple server instances, a custom load balancer, and automated pre/post-conversation surveys⏵ Reverse-engineered the Qualtrics API to allow for fast data manipulation and survey creation

⏵ Created assignments, quizzes, and lessons for students, as well as guided them on building data products, which included web scraping, MySQL, analytics, visualizations, machine learning, NLP, and front-end development⏵ Held office hours, providing detailed explanations and extra information on advanced topics in the course

⏵ Tutored multiple college students to help them understand general programming concepts, data structures, and algorithms, as well as helped debug and explain Python and SQL code