As apart of the CALSys Research Lab, I assist in web scraping the dark web in order to obtain information about hacker sites and make predictive and proactive actions using Machine Learning. We aim to build the largest public criminal hacking dataset for the security research community.

- Worked in a team of 4 to create 5 Next js AI Projects using the Google Gemini API, Material UI for a polished front end and Firebase for data storage.- Leading a team of 4 to build and deploy a Full Stack Next js web application using HTML/CSS for the front end and Node and Express js in the backend along with MongoDB for data storage. Once deployed, our goal is to acquire 1000 users/waitlisted accounts- Participated in weekly career preparation including mock interviews and meetings with Industry professionals

As a Remote Extern at Extern, I worked in collaboration with Webacy along others in my cohort to conduct a thorough identification, validation and analysis of Smart Contracts in order to label Risk Tags for potential vulnerabilities and build a dataset with over 1000 valid Risk Tags. Following the validation, I utilized Python libraries such as Pandas, Numpy, Scikit-learn and others to create a correlation, frequency and cluster analysis to Identify relationships among similar risk tags probable to contain vulnerabilities.