ECE 20875 - Python for Data Science- Assist students with understanding Python fundamentals and applying them through data science.- Introduce students to machine learning topics and apply them to projects consisting of kNN, naive Bayes, and K-means clustering.

Implementing and verifying floating point arithmetic units in an ASIC context.

- Configured a “time of flight” sensor that displays the satellite’s flight distance to the microcontroller’s serial monitor.- Coordinated SPI communication between the Throttle Teeny and the Gimbal Actuator Teensy.

- Educated the student body in the largest student organization about ongoing social problems and paths to resolution.- Planned and executed new on-campus traditions to increase student engagement.- Provided networking and collaboration events with other students to increase career opportunities.

- Led and constructed a HIL physical interface via microcontroller for SCV hydraulic levers so engineers can test SCV functionality without accessing the tractor, thus enabling remote testing, reducing downtime, and saving $100,000 annually.- Designed and integrated digital/analog inputs for the microcontroller with a 450+ line C++ script and schematics using I2C/SPI protocols. - Pioneered simulation capabilities for other embedded systems that utilize similar I2C protocols as the SCV Levers.

- Conducted physics calculations of the interactions between light rays and optics in a variety of situations.- Developing the core tool for designing computational cameras that process light rays through Jupyter Notebook.- Programmed software that conducts a sequential model that simulates how light rays are bent went traveling through the optics, incorporated in Purdue's AD RayOptics package.- Evaluated the change in gradients of the optical parameters when altered in the simulation. - Formulated high-performance computer programs and corresponding documentations to the created simulation.

- Implemented CVML Cameras via Python2 and Ignition at the end of the engine manufacturing process that automatically inspect engine parts to mitigate errors through my created AI supervised-learning model, thus reducing manual inspection, diminishing warranty claims, and setting the foundation for replacing salary workers.- Engineered an all-in-one Engine Process Tracking dashboard with SQL that consists of a variety of engine data that informs quality engineers of the "engine's footprint" through the manufacturing line, which saves each quality engineer at least 43 hours and $280,000 annually due to reducing walkarounds, heavy repair, and warranty.- Performed 1,100+ scans of the factory floor with live tags so remote workers can view the factory floor's developments along with assisting in factory mastery planning,- Established a troubleshooting tool for the engine line that develops 13.5L and 13.6L engines so quality engineers and mechanical/manufacturing engineers can effectively troubleshoot errors without having to contact factory automation, thusly resulting in less downtime.- Presented in front of 100+ John Deere engineers and management about my long-term impact of the four mini projects on the corporation.

- Programmed via Python and Matplotlib to visualize data sources of clinical trials, including mobile health apps, wearable devices, and other elements of clinical operation.- Utilized scalable tools and ran python algorithms to identify patterns and develop features for improving sleep pattern trials and products.- Presented in front of the group on efficient methods of analyzing data of clinical trial patterns through python.- Conducted 1:1 meetings with at least 11 different employees about work-life experiences and professional development.

- Researched the contact information of 400+ Deans of Education of local Indiana districts and organized them in an excel document as potential candidates for makerspace locations. - 3D-modeled makerspaces for communities in Indiana through learning and using SketchUp. - Applied logistics and design engineering in packaging multiple kits and hundreds of educational robots into 30 cases for local elementary schools in 1 week.