Washington DC-Baltimore Area
• Assist 700+ Undergraduate students with basic programming techniques through online forums and in-person lab sessions for Python, Java, and C courses • Provide technical support for lab setups and attend weekly meetings with professors to outline goals. • Develop project and testing files, hold weekly office hours, and maintain electronic discussion boards.
• Developed a software application for the Department of Homeland Security to process terabytes of digital evidence data • Created a RESTful Python API to process and query results
• Worked on two different Noblis Sponsored Research (NSR) projects. • Developing Supervised Machine Learning Models using Python, Pandas, Numpy, Scikit-Learn to predict traffic flows ahead of time. • Developing Unsupervised ML Models for intrusion detection in autonomous vehicles. Experienced in the developmental pipeline for Machine Learning including Data Preprocessing & Preparation, Model Training and Hyperparameter tuning.
• Developed a RESTful web API in Python using Falcon to safely and efficiently capture images of malicious websites, reducing capture time by 90%. • Trained a machine learning classification model with scikit-learn that detects malicious URLs at a 93% success rate. • Successfully integrated API into Docker container and deployed onto client servers to be used as a micro-service by all employees. • Presented project to Noblis’ executive board detailing how the application integrated various company intelligence projects and enhanced their cyber analytics mission areas.