MATTHEW WNUK  E.I.T.                                                                                                     [email protected]    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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