• Developed in C++ with VS Code, an automated magnet optimization program, improving data processing speed on previous algorithms and eliminating manual steps within the calculation process, ultimately leading to a 1000% increase in singular test run efficiency• Designed using Matlab, Solidworks, and 3D printing, ultra-low strength uniform magnetic field generators for the Los Alamos nEDM experiment, solving calibration problems for precision magnetometers and providing environments for neutron experimentation• Developed with PyQt5, PyVisa a multithreaded GUI for FPGA module and power supply control• Conducted radiation tests on Low Dropout Boards at Brookhaven National Lab for CERN's ATLAS module

• Developed using C in STM32CUBE IDE, different firmware, and embedded software for the Clementine rocket engine controller board, utilizing master-slave protocols and timer interrupts• Used Git and Linux systems to store work and collaborate with other developers• Designed harnessing and support for electrical components on the rocket

• Designed and programmed using C# in Unity Engine enemy AI, projectiles, movement, and collision detection, and gained experience in dynamic memory in the design of enemy spawning patterns.• Initiated community events to support club cohesion and settled key decisions within the organization.

Using Python, Pandas, Numpy, Sklearn, and SQL, analyzed data and created algorithms for profit-based mass cancel thresholds for the index quoting team making around $5000 a dayDiscovered data persistence issue of quote states and developed an algorithm to derive implied quote states at any point in time, creating a now widely used source of data for the desk

Designed interactive and automated dashboards applications with PowerBI, Python, and SQL to display and perform analysis on outage events and energy usagesImproved strategy team data analysis efficiency by 10\% by through automating data analysis

• Worked as an mathematics teacher at Mathnasium. • Involved in grading and course planning and general administrative work.

• Optimized fast data generation/processing algorithms using Python and Matlab which provide test cases to simulate the environmental effects on molecular reactivity, leading to a 50% decrease in runtime• Eliminated redundant cases within previous Python data generation algorithms through testing and identification of problem points, solving a data skew issue in the experiment