Weiyi Huang Email & Phone Number

Austin, TX, US

- 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.

- 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.

- 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.

- 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.

- 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.

- 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.

- 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.

Bachelor Of Science - Bs, Electrical And Computer Engineering

High School Diploma, Engineering

High School Diploma, Engineering, 9Th Grade