Rhys Cornelious

(628)-276-5261 | rhyscornelious@gmai.com | rhyscornelious.github.io | linkedin.com/in/rhys-cornelious | github.com/RhysCornelious

SKILLS
TECHNOLOGIES: Altium, Cadence Virtuoso, KiCad, LTSpice, Eagle, SOLIDWORKS Design and FEA, Onshape
LANGUAGES/GENERAL: C#, C++, C, Python, MATLAB, Arduino, GIT, Soldering and Electrical Prototyping
WORK EXPERIENCE
Hardware Systems Engineering Intern Cupertino, CA; May 2024 – August 2024
Apple - Goal to develop the next generation of wearable sensor technologies.
 Designed circuit for custom PCB used by electrical team to debug system FPGAs via JTAG breakout, obtain accurate current sensing of main power
supply, and probe 100MHz digital signals
 Hardware lead for bring up of breakout board, interfacing with EPM, PD, DV, PCB Design teams and Vendors to successfully produce custom PCBs
 Conceived of and validated proof of concept for FPGA IO pin reduction through system modelling and simulation using Cadence Virtuoso
 Performed multiple failure analyses studies on dysfunctional boards, providing vital insight into rework efficacy and IC stability
 Wrote suite of Python scripts to streamline board characterization and bring up by electrical team
Electromechanical Engineer San Francisco, CA; January 2024 – April 2024
Atomic Semi – Developing a semiconductor rapid prototyping machine (“3D printer for chips”).
 Designed, tested and hand built custom automated wafer probing system, achieving precision of 5 microns in Z axis and 75 microns in X+Y axis at a
final BOM cost of $1100, a mere 2% of comparable used and refurbished industry grade solutions
 Personally crafted all subsystems, including vacuum sealed wafer chuck, sub-micron accuracy probe tip micro positioners, and live microscope stream
 Decreased IV curve gathering time by 98.48%, reducing OPEX for wafer characterization by an estimated $113 000 annually
 Developed and manufactured custom precursor heating jackets, resulting in a 25x cost reduction as well as 4x power consumption reduction
 Drafted PCB in KiCAD to control solenoid valve array using optocouplers and implemented to provide precise control over precursor release
Electrical Systems Designer Waterloo, ON; May 2023 – August 2023
Photomedicine Labs - Goal to design a novel non-invasive medical imaging system capable of producing high resolution images to aid in cancer diagnosis.
 Utilized Altium and LTSpice to design and implement peak detection circuit capable of accurately capturing the peaks of pulses with wavelengths
of just 20ns, reducing necessary quantity of imaging system’s data collection by 98%
 Employed Ocean Optics Seabreeze C API to provide tailored functionality for spectrometers’ acquisition of pulsed laser time domain signals
 Sharpened hands-on electrical design, manufacturing and testing skills through fabrication of custom laser power supplies
Soft Robotics Design Engineer Waterloo, ON; September 2022 – December 2022
University of Waterloo Microfluidics Lab – Aim to develop a novel hybrid soft/rigid robotic hand to prove consumer viability.
 Used SOLIDWORKS and additive manufacturing to design and fabricate a biomimetic soft/rigid hybrid robotic hand with 21 DOF, capable of
achieving a perfect score of 11/11 on the Kapandji test of hand dexterity
 Reimagined the relationship between soft and rigid robotic systems using a novel flexible hinge design, improving stability and dexterity
 Designed condensed PCBs in EAGLE utilizing MPU6050 gyroscopes to track joint angles and provide timely system feedback
PROJECTS
PCB Business Card December 2023
Personal Project
 Emulated logic game ‘Light’s Out’ using ATmega328P microcontroller, 8:1 MUXs, LED’s, and push buttons on business card footprint
 Used NFC tag IC and antennae designed from precise traces to store URL for portfolio, sharing when users tap their phones
 Prototyped system using Arduino Uno and breadboard circuit before optimizing to accommodate restraints of a coin-cell battery powered PCB
EEG Signal Processor July 2022 – Feb 2023
Digital System Lab/Personal Project
 Composed and hand built 7 stage electrical system comprised of active filters, instrument amplifiers, and an ADC converter
 Amplified EEG signals between 12-30Hz obtained from O2 and FP2 Electrodes and sent to Raspberry Pi for analysis
 Accurately classified relaxed and concentrated states through Matlab script, utilizing Parseval’s Theorem to provide Alpha and Beta wave distinction
 Used Altium to create schematic of system and 4 layer PCB to reduce system noise and increase signal accuracy
EDUCATION
University Of Waterloo Waterloo, ON
BASc. Biomedical Engineering Sept 2020 – Apr 2025
Cumulative GPA: 92.02%
Relevant Coursework: Circuits, Instrumentation, and Measurements | Actuators and Power Electronics | Linear and Nonlinear Electronics