Designing wearable photoplethysmography signal acquisition board/device

Worked on simulations of capacitive behavior around GNR transistor models

• Collaborated with team to develop concept and schematic of a development platform based on an MSP432 microcontroller and Artix-7 FPGA• Learned about and implemented communication standards and single-ended I/O standards such as SPI, I2C, UART, LVCMOS etc.• Designed a power distribution system with buck, buck-boost, and LDO supplies centered around power efficiency and ease of implementation•Worked cross-functionally with component engineers, vendors, and FPGA engineers to ascertain the best components and architecture for the device

• Works on cleaning and analyzing minute by minute data from FITBITs to develop statistical modeling techniques to understand the pattern of life for patients at varying stages of multiple sclerosis

• Developed a hardware redesign of a neurostimulation device that sped up production by ~400% • Designed several testing pcb boards to test for efficiency and compatibility and to verify concepts• Created several LTspice models and proof of concept designs for future designs improvement

• Mentors students in understanding and applying the course material, focused on circuit design and control systems, to their weekly lab section. •Works with other lab assistants to assist over 80 students weekly in lab

• Contribute to and help facilitate lab and discussion sections • Tutor students in course material involving data structures and Java

• Repurposed commercially available EMG, EEG and EKG sensors into economical prototypemedical devices paired with LabView in conjunction with graduate students• Developed software for EKG sensors in LabView• Analyzed EMG sensors data that monitors tongue movement• Increased working safety of autonomous wheelchairs using EEG sensors to monitor concentration

Worked as a clinical care extender at various hospitals under Palomar Health