Bachelor of Arts, Computer Science | Minor in Atmospheric Sciences
Relevant Coursework: Object-Oriented Programming & Data Structures, Algorithms, Machine Learning, Systems Programming, Computer System Organization and Programming, Practicum in Operating Systems, Fuctional Programming, Intro to iOS Development, Intro to CS in Python, Linear Algebra, Statistics and Probability
Honors: SEG/Denver Geophysical Society Scholarship Recipient, NIAF Scholarship Recipient
Strengthening reliability of a protein availability platform by integrating over 1000 test cases into a Vela-powered CI/CD reducing QA timelines by 88%
Developing end-to-end test cases using Cypress for this React and Spring Boot application using the IntelliJ IDE, increasing test coverage and minimizing manual QA effort
Pioneering team-wide agile/scrum adoption, leading a team of 10 members in the development and integration of first custom autonomous flight software in team history, enabling reliable waypoint navigation and remote control for a eVTOL platform
Spearheaded novel Python-based waypoint uplink and grid search functionality for the ground control system, reducing average mission setup time by 80% through full-stack Svelte and Flask integration via a REST API
Implemented a custom Python module for aircraft path planning automating takeoff and landing phases of flight, achieving 60% reduction in mission time and leading to 2nd place national ranking at CUASC competition
Leading discussion section for 40 students weekly, reinforcing object oriented programming techniques and data structure usage through interactive programming assignments and student engagement
Bolstering students’ material comprehension during weekly office hours by conveying Java debugging strategies, reviewing material taught in lectures, and providing robust feedback on assignment submissions
Developed and deployed automated Python scripts to aggregate radar data from 26 distinct physical sites, employing an AWS EC2 instance and Crontab for scheduled execution to generate meteorological products for 5 Italian clients
Reduced error in precipitation accumulation calculations by 93% leveraging novel Python nowcasting software pipeline
Audited over 3300 terminal doors, spaces, and occupants via ArcGIS to maximize $250 million in tenant rental revenue
Generated over 100 visualizations using Power BI justifying allocation of $60 million equipment CapEx budget based on enhanced life cost cycle analysis; presented findings to senior leadership
Prepared light-duty fleet electrification feasibility report including over 200 vehicles, identifying appropriate adoption timelines and necessary resources