- Leading an organization of 40+ members across 4 project development committees, fostering professional development and networking opportunities in engineering consulting.- Restructured leadership structure to enhance efficiency, resulting in improved coordination and productivity within the executive board.- Organizing recruitment initiatives, information sessions, and new member orientations, while preparing and conducting leadership applications and interviews to ensure a strong and capable executive team.

- Taking initiative in team brainstorming and collaboration sessions to develop an intuitive, automated infrastructure for small businesses to track OCHA regulations- Designed an aesthetic web interface to communicate product features and company values to potential investors and future users- Building a multifaceted backend, consisting of a custom made API for OSHA documents and an advanced account management system- Making informed and optimized product design decisions by analyzing the needs of the industry alongside our start-up business partner, Enviro

- Supporting over 300+ first-year students per semester in ECE120, the largest foundational computing course in the UIUC ECE department, by running office hours, proctoring exams, and providing actionable feedback to enhance this crucial aspect of any ECE major's education.

- Developed and implemented an embedded algorithm that accurately detects user window button input by assessing the pose of users using a single camera unit.- Selected to present at the Sr. VP level at a company of over 4000 employees.- Fabricated a window demonstrator unit, showcasing the advantages of replacing traditional window control buttons with a machine vision alternative.- Training a custom object detection machine learning model to locate "button" decals, facilitating easy customization of button locations within an aircraft cabin.

- Contributed to the development of low-cost, scalable wireless underground sensor networks for continuous monitoring of soil properties, ensuring reliable and accurate data collection.- Spearheaded research into machine learning models, enhancing soil moisture interpolation and extrapolation with topographic data for unparalleled 70% accuracy.- Contributed significantly to a forthcoming paper on groundbreaking soil moisture prediction methods, emphasizing the role of advanced machine learning.

- Worked under Dr. Timothy Bretl and as part of The Bretl Group to design a compact, data-driven, gimbal-enabled robotic device that will transport a payload using convection fan levitation- Implemented numerous control algorithms to complete project objectives- Designed and manufactured a custom device for algorithm testing and RL data collection

- Led my team in group brainstorming and robot construction for the VEX Robotics Competiton- Developed team logistics (funding, leadership structure, communication) and notability as a primary founding member of the organization- Competed at the state and national levels, accumulating numerous championship titles- Organized regional VEX Robotics competitions with 36+ teams and 200+ middle and high school students each- Guided the next generation of team members on how to lead and engineer competitive robots- Developed a dynamic website, expanding the team's community presence and connecting members remotely during the COVID-19 lockdown/quarantine

- Performed research on "Designing Efficient Accelerators for Deep Neural Networks" with Boston University's Integrated Circuits and Systems Group- Carried out numerous experiments to determine the most efficient systolic array configuration and dataflow method when utilized for General Matrix Multiplication operations of machine vision neural networks- Presented findings to an audience of esteemed professors and fellow STEM-inclined peers- Regularly collaborated with graduate student mentors to overcome challenges in the research process

- Worked in a team to research and develop a versatile network of prototype alert and tracking devices for viral outbreaks- Reached finalist status for the Lemelson-MIT InvenTeams Grant- Met with numerous industry leaders and politicians to design the most effective device sensing architecture for the community- Analyzed the market viability and cost of the device network if scaled up to mass production