Matthew Wnuk
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MATTHEW WNUK  E.I.T.                                                                                                     matthew.wnuk@gmail.com    Active TS Clearance                                                                                                                                   

 
EDUCATION

Masters of Science in Electrical Engineering
                     University of California San Diego                                                                                                                                                                                       June 2018

Bachelor of Science in Electrical Engineering​
                  San Diego State University                                                                                                                                                         December 2015
                                                                                                                    

RELATED WORK HISTORY AND EXPERIENCE

Naval Information Warfare Center - Machine Learning Project Engineer                                                                                                       January 2016 to Present
  • Project Lead – Radio Frequency Machine Learning Systems
    • Dataset Curation for machine learning applications to the RF domain
    • Deep learning architecture design for signal discrimination
    • GAN design for modulation classifiers
  • Project Lead – Machine Learning for Ship’s Self Defense
    • Dataset cleaning
    • Radom forest classifier for classification using RF parametrics
  • New Professional Trainer – Machine Learning
    • Topics include: regression, gaussian classifiers, dimensionality reduction, unsupervised learning, deep learning, gradient descent

Graduate Student Researcher – UCSD Drone Lab                                                                                                                                               January 2018 to June 2018
  • Python Software development for Intel Aero Embedded Linux Environment
    • low level peripherals such as IMU & Magnetometer via SPI and I2C
    • 9DOF Sensor Fusion for quaternion orientation via Madgwich Filter
    • Feature extraction and projection using Intel-Realsense RGBD camera
NASA Langley Research Center – Electronics Engineering Intern                                                                                                           May 2015 to August 2015
  •  PCB Layout of optical receiver for advanced doppler LIDAR system using Altium designer
  • Filter Design for attenuation of shot noise
  • Circuit simulation and documentation. 
  • Component Purchasing and selection, liaise with manufacturers and distributors. 

Autonomous Robot Submarine – AUVSI Robosub Competition 2015                                                                                              August 2014 to August 2015
  • Designed custom 4-layer mixed signal PCB in Altium Design Suite to process acoustic signals and determine the direction of arrival
  • Prototyping various components using standard lab test equipment ie function generators, oscilloscopes etc.
  • Coded 16 bit PIC in embedded C to include functionality for USB, UART, ADC, PWM, digital filtering, custom algorithm to determine direction of arrival of received signal
  • Created Altium footprints for non-standard IC packages to be used
  • Placed 8th out of 39 international teams as first year competitors

Engineering Intern – Northrop Grumman                                                                                                                                               June 2014 to January 2015
  • Verify and reproduce benchmark RCS analysis to gain intuitive understanding of electromagnetic analysis software and RCS techniques
  • Develop printed core models as well as impedance sheets in HFSS to accurately extract material properties
  • Parametric RCS modeling in HFSS
  • Python and Matlab scripting for development of database tools as well as creation of development documentation for expansion of the tools

Ball Balancing Robot – Personal Project                                                                                                                                                    August 2012 to August 2013
  • Use of Nexus 2 FPGA Development board as robotic platform
  • Wrote I2C driver in VHDL to acquire sensor data from accelerometer and gyroscope
  • Put sensor data through simplified Kalman filter, used output in PWM control algorithm to re-balance robot.

Military Analyst – Office of Naval Intelligence                                                                                                                                           July 2010 to August 2013
  • Digital signal processing and timely analysis of acoustic signal for the intelligence community
  • Analysis of acoustic signatures for operational and tactical significance
  • Development of detection, classification and target motion analysis techniques and tools


PROFESSIONAL SOCIETIES AND HONORS

Eta Kappa Nu (HKN) electrical engineering scholastic honor society - President
Tau Beta Pi (TBP) interdisciplinary engineering honor society
California Certification as E.I.T.
SAME – Society of American Military Engineers
IEEE - Institute of Electrical and Electronics Engineers
SDSU Mechatronics Club

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