Devils Prosthetics LLC - Engineering Projects in Community Service (EPICS) August January 2022 - Present
- Successfully led a multidisciplinary team of students to establish an LLC designing and producing innovative myoelectric prosthetics for transradial amputees.
- Engineered adjustable SolidWorks models and 3D printed solutions specifically designed to accommodate adolescent amputees, ensuring customizable scalability for growth.
- Developed a machine learning application to enhance the accuracy of prototype testing and optimize performance evaluation for improved design iterations.
- Formulated complex circuitry, developed Python-based software for Raspberry Pi microcontroller integration, and designed custom PCBs.
- Managed project development from concept to presentation, demonstrating leadership and entrepreneurial skills.
Flowers Feeder - Engineering Projects in Community Service (EPICS)
01/2022, 05/2022
- Designed and developed an automated flower feeder system for individuals with limited mobility.
- Integrated sensor technology and automation to ensure consistent watering and feeding of plants, improving accessibility for people with disabilities.
- Utilized heavy machinery for processes such as injection molding, laser cutting, milling, welding, ect.
- Configured embedded systems to control the feeding mechanism, automating plant care and reducing the need for manual intervention.
- Contributed to project management, including timeline coordination and meeting community needs through engineering solutions.
Weather Racer - Embedded Systems Project January 2024-May 2024
- Developed a mobile weather station that acquires precise sensory data and translates it into actionable outputs, addressing defined tasks with innovation and collaborative efficiency.
- Achieve these characteristics by designing a portable RC Car that operates as a mobile weather station with machine learning tactics.
Audio Compresser - Analog-Digital Interface
- Designed an effective audio compressor that dynamically adjusts compression parameters based on real-time analysis of incoming audio signals, while offering user-friendly controls for fine-tuning.