Electrical Engineer
Resume:
William Leach
Experienced Electrical Engineer with a concentration in artificial intelligence(AI)
seeking to fill a machine learning engineer position. Adept at using strong machine learning foundation skills and team communication experience to implement state of the art AI solutions.
EDUCATION
University of California, Los Angeles — Electrical Engineering M.S. Overall GPA: 3.82
Current, Expected Completion: June 2019
University of California, Santa Barbara — Electrical Engineering B.S. Upper Division GPA: 3.74
Graduated June 2017
EXPERIENCE
Omron Corporation, Kyoto, Japan - Intern
September 2018 - December 2018
Human Sensing and Control:
● Built deep segmentation network for assembly line footage
● Compared activity classification algorithms on network output National Ignition Facility, Lawrence Livermore National Lab - Intern June 2018 - September 2018
Image processing and Automated Analysis:
● Developed deep neural network to filter bad quality image data
● Network is currently being used in production at the facility Bossa Nova Technologies, Los Angeles, CA - Intern
January 2018 - April 2018
Laser-Ultrasound System:
● Wrote code to integrate low-cost microcontroller to run the system
● Responsible for instrumentation and signal processing Materials Engineering,Lawrence Livermore National Lab -Intern June 2016 - September 2017
Laser Spectroscopy Sensor System:
● Responsible for signal processing and controls software design
● Transitioned existing analog system to DAQ board; reduced footprint Mishra Group, UC Santa Barbara, CA - Research Assistant April 2016 - June 2017
● Probed and analyzed characteristics on high power GaN transistors
● Etching angle and threading dislocation research led to 2 publications Castro Valley, CA
***************@*****.***
US Citizen
SKILLS & EXPERTISE
Languages: Python, Keras,
Tensorflow, NumPy, OpenCV,
Scikit-learn, MATLAB, C, C++,
Linux, Labview
Knowledge Areas: Speech and
Image Processing, Machine
Learning, Deep Learning,
Hardware/Software
Communication, Data Mining,
Embedded Systems, Computer
Vision, Instance Segmentation,
Shell Scripting
Hardware Experience:
Microcontrollers, Oscilloscopes,
Power Supplies, Lock-in
Amplifier, Optical Equipment
AWARDS
Lawrence Livermore
Foundation: Grant to cover cost
of SPIE conference and
presentation, 2019
UCSB: 6 Consecutive quarters in
Engineering Honors Program.
UCSB: Best Team Design
Proposal Writing Award, May
2014
Boy Scouts of America:Eagle
Scout Rank, December 2013
LANGUAGES
English, Conversational Japanese
proficiency
Projects and publications continued on next page:
PROJECTS
Speaker Recognition
Winter 2018
● Developed scoring and classification algorithm to differentiate between individual speakers
● Was given short utterances, in presence of babble noise, and with a limited and unbalanced dataset(UCLA Speaker Variability Database) Acoustic Phased Array
Spring 2016
● Designed 19 speaker array system based on simulation coded in Matlab
● Built hardware array using multiple analog delay units and power amplifiers
Publications and Presentations
William Leach, James Henrikson, Judy Liebman, et al., “Using Convolutional Neural Networks to Classify the Static X-ray Imager Diagnostic Data at the National Ignition Facility”, SPIE Photonics West, 2019 Impact of threading dislocations on the device performance of GaN trench MOSFETs and potential yield of large area devices, 2017 Comparison between GaN trench MOSFETs with (1120̅) a-plane and (1010̅) m-plane sidewalls,2016
Leach William, T.Bond, A.Chang, “Tunable Diode Laser Absorption Spectroscopy for Water Vapor Detection”, Poster, Lawrence Livermore Laboratory, 2016
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