• Guided 200+ students on x86-64, C/C++, Linux, and computer hardware for operating systems and computer architecture-focused classes (CS 2130 and CS 3130 at UVA)

• Led labs and review sessions, held office hours, graded and proctored exams, resolved questions on Piazza, and graded assignments

• Developed optimized algorithms for constructing and analyzing 1 million+ node networks, reducing computation time by over 32,000x

• Used unsupervised learning techniques like Association Rule Mining to discover relations between the prescription of different antibiotics

• Used machine learning techniques (linear regression, gradient boosting, random forest, SVC, XGBoost) to predict hospital-acquired infection spread

• Developed Python tools for data cleaning, visualization, data mining, and spatio-temporal analysis on 1 billion+ insurance claims

• Automated analysis and created pipelines for job deployment on a high-performance computing cluster using Slurm and bash scripting

• Collaborated with researchers at Johns Hopkins University and the Center for Disease Dynamics, Economics & Policy (CDDEP)

• Integrated MySQL databases with a backend Java application using JDBC API to streamline data injection and reduce API calls by 5-10%

• Collaborated with a team of 5 people including staff software engineers, a senior engineer, and a manager

• Developed ETL packages that efficiently processed the data of 2000+ clients from flat files for an internal information management tool

• Designed 12 packages in SQL Server Integration Services (SSIS) for data transformation and event handling on MS SQL Server databases

• Presented a Power BI dashboard and SSIS packages to managers for use in future business intelligence solutions and data warehousing