Arjun Sonti Email & Phone Number

Hawthorne, California, US

Boston, Massachusetts, US

• Pison Technology builds next-gen sensor technology that allows for micro-gesture control of AR and VR devices.
• Designed and built Pison's first proprietary firmware for Nordic nRF52840 in native C that was adopted by the entire company for production devices
• Increased throughput over BLE by 600% over time to achieve a latency of 0.7 ms per sensor packet using pin and timer interrupts and intelligent management of reading data from various sensors. Further improvements.
• Implemented low-level drivers for interfacing with the onboard ADC and IMU using SPI and I2C non-blocking protocols for efficient data acquisition and management
• Communicated closely with board design engineers to organize firmware for easy updates and to recommend hardware updates to improve firmware performance
• Maintained firmware versioning and improved throughput and reliability for next versions of Pison hardware

• Inan Research Lab at Georgia Tech, directed by Dr. Omer Inan, focuses on technologies for improving human health and athlete performance with a very wide variety of applications.
• Project involves detection of an IV catheter using bio-impedance measurements on an Atmel SAMD21 microcontroller
• Designed and built a test-board for new ADC being used for the bio-impedance device; this involved reading through the datasheets and constructing a schematic and board design on EAGLE to be printed by a PCB manufacturer
• Designed and built a multiplexer board for the device for the purpose of taking bio-impedance measurements from several electrodes; involved researching a multiplexer that would accurately serve this purpose
• Wrote low-level driver to control multiplexers through I2C protocol for the bio-impedance device firmware

• The Wearable Biosensing Lab at University of Rhode Island, directed by Dr. Kunal Mankodiya, focuses on wearable technology for assisting rehabilitation for patients with trauma or underlying diseases.
• Designed a smart sensor glove that can track the hand and finger motion of a patient with Parkinson's Disease and relay data to a doctor who can assign specific physical therapy exercises to the patient's glove
• Published and presented our work at the MIT IEEE Undergraduate Conference in November of 2016

• The Cyber-Physical Systems Lab in UMass Boston, directed by Dr. Filip Cuckov, builds wearable rehabilitation devices for patients with trauma looking to recover function to their hand.
• Designed a physical therapy actuator glove that assists patients with little to no hand function
• Full stack design of a sensor glove to send realtime position of fingers to actuator glove
• Created physical construction through CAD, built a custom PCB through EAGLE, and used C to inteface Atmel ATMega328P with flex sensors

Bachelor'S Degree, Computer Engineering

High School Diploma