Neil Dave Email & Phone Number

Chelmsford, Massachusetts, US

• Provided electrical engineering and software support for multiple Phase I and Phase II SBIR programs
• Developed proof of concept embedded devices for ocean systems, human factors, and robotics teams
• Authored camera feature extraction code in Python for a vehicle using ROS

Burlington, Massachusetts, US

• Transitioned to R&D applications role with goal of expanding uses of Bionet Sonar medical transceiver technology (SBIR Phase I Principal Investigator: Abstract # 1621803); 2 major projects include implantable deep.
• Led R&D applications, implemented electronic hardware and software tools to expand core technology usage
• Designed amplifiers in Altium for digital communications and analog filters for prototype DBS neurostimulator and ultrasonic watch, enhancing signal clarity by 20%
• Developed Java mobile application for BLE data transmission from cell phone to ultrasonic watch and custom ultrasonic broadcast functionality for watch to watch communications

Burlington, Massachusetts, US

• Iterated on core HW + firmware with focus on lower cost, scaling up to production, streamlining API + creating mobile and desktop tools for clients to communicate with implant + visualize and log implant data.
• Authored data visualization and processing tools for sensor data obtained from implants using pyplot, matplotlib, and numpy
• Expanded commercial product line by using core technology to create proof of concept multi-chamber pacemaker and wireless insulin pump.
• Migrated all hardware design and manufacturing files from KiCad, Diptrace, and Eagle to Altium, streamlining work across teams

Burlington, Massachusetts, US

• Transitioned to full time, redesigned proof of concept implantable transceiver to scale up to production
• Executed the design and development of over 5 hardware projects from concept to production, including the design of multiple amplifier, communications and ultrasonic charging modules.
• Constructed a robust MCU API in C for interfacing with SPI sensors and a FPGA, optimizing power management, and ADC
• Established and managed Git repositories for hardware and software, improving collaboration efficiency by 30%
• First non-founding employee of company, managed two interns and actively contributed to successful grant writing initiatives

Burlington, Massachusetts, US

• Contractor brought on to transition university research, implemented on a USRP (28 x 24 x 4 cm) into a commercial proof-of-concept implantable embedded system (2cm diameter x 1.54 mm)
• Led the development of an implantable sub-GHz transceiver from concept to prototype, including part selection, schematic capture, and layout, resulting in a groundbreaking technology for medical implants
• Created hardware for first commercial product line at Bionet in 6 month design sprint and 30% under budget

• Designed and deployed electronic hardware for reconfigurable underwater modems using MicroZed FPGA topology; conducted offshore testing
• Designed PCB for 60 kHz underwater modem using Teensy 3.6, TPA3116D2 and AD633JN mixer
• Designed prototype of wireless rechargeable pacemaker powered by harvested ultrasound energy
• Engineered a 3d printed fixture and LED drivers to implement a 2MHz omnidirectional visible light communication (VLC) module
• Assembled and debugged miniaturized potentiostat PCB to perform cyclic voltammetry for implantable applications

Newton, Massachusetts, US

• Developed BLE firmware and conducted QA testing on fall detection algorithms
• Constructed and evaluated prototypes of wearable medical sensors

Coopersburg, PA, US

• Wrote firmware and designed PCB for color mixing LED driver
• Conducted stress testing on LED drivers and collaborated with clients to troubleshoot faulty units
• Debugged, reworked and reassembled damaged PCBs sent in by clients

Boston, MA, US

• Utilized MATLAB and ITK to perform 3D image registration and to simulate tissue in tumor detection studies
• Modeled lymphedema afflicted arm from data taken from Microsoft Kinect using OpenNI

Amsterdam, Noord-Holland, NL

• Built feature extraction algorithms in C++ for images and video to develop a "needle detector" for epidural and biopsy procedures

Master'S Degree, Electrical Engineering

Bachelor'S Degree, Electrical Engineering