- Joined the Electrical Subteam as an ECE member in Fall 2024. Conducting work on PCB hardware, embedded systems, and wiring harness systems on LawnDart (high-speed) and other prototype drones to support high-speed, autonomous navigation, and high maneuverability among other objectives. Work includes designing, implementing, and testing circuit and wiring designs to ensure mission critical functions.

- Testing and refining an automated acoustic sensing system with custom PCB processing unit and speaker and microphone unit with Bluetooth capabilities for recording physical movements of user. - Integrating a unique Python neural network with aforementioned system for identifying and classifying physical exercises from user movements, providing a novel, hands-free workout assistant that adapts in real time.

- Marketed team accomplishments and highlighted final product in an end-of-year advertisement video through an iterative planning, filming, and editing process, effectively engaging over 5000+ students and faculty. - Redesigned team website to broadcast team mission and attract new sponsors and student applicants. Concentrated on an enhancement of information and organization of hyperlinks on the homepage. - Joined the Product Development Team as an ECE member in Fall 2024. Working on PCB design and embedded systems to ensure bluetooth communication between app software and drug delivery system for Project Influx.

- Founded and manage Cornell Chapter of Project LTF, a 501(c)(3) nonprofit connecting students from underprivileged communities with college application resources from undergraduates at top universities. - Interviewed and selected 7 executive board members. Screening 15+ more general mentors in coming weeks. - Collaborate and communicate with executive board members according to pre-defined goals in preparation for the fall semester, including mentor onboarding materials and high school partnership proposals.

- Routed 7500+ feet of sensor cabling to incorporate mechanical and electrical equipment for new HMF laboratory. - Integrated, verified, and validated large-scale, mission critical electrical systems from wire terminations within front-end equipment to revision of existing control network at back-end control systems. - Proposed and carried out hardware and structural workarounds to address problems within existing electrical interfaces: integrated 2 redundant CHESS Vacuum Gate Valve Control panels and HMF Primary Gate Valve Control panel into 2 new control chassis designed to leverage existing sensor infrastructure and reduce new wiring. - Expanded other critical operation systems including CHESS thermal chassis, CHESS OK chassis, and radiation control monitors to reflect S5/S6/S7 experimental hutches as part of the installation of the new HMF laboratory.

- Trained diffusion neural model systems through categorization of facial features of hundreds of headshot portraits. - Observed likeliness between outputs to inputs to determine model success and areas of improvement. Optimized model to improve said likeliness using experiences gained through input categorization and output observations. - Implemented model for consumer use, using input photos from customer to generate headshots with various backgrounds. Selected top 25% of outputs based on likeliness to customer’s features to deliver to customer. - Led SEO and social media engagement, researching 20k+ backlinks and performing outreach to 20+ websites.

- Improved performance of the DCGAN neural network in an edge case: abstract art, absent of any apparent patterns- Recognized weaknesses in the processes of a base-level Discriminator and Generator against abstract art and implemented design iterations to its network architecture to improve broader performance for all edge cases- Final iteration achieved a clear, pictorial number within 50 epochs when tested with the MNIST dataset (as a constant) and observed a ~25% performance on the abstract art dataset through research completed- Authored an 11-page technical report with a focus on visual comparisons of dataset images and output images