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Electrical Engineer

Los Angeles, California, United States
$110,000 USD
April 23, 2019

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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.


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


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


Languages: Python, Keras,

Tensorflow, NumPy, OpenCV,

Scikit-learn, MATLAB, C, C++,

Linux, Labview

Knowledge Areas: Speech and

Image Processing, Machine

Learning, Deep Learning,


Communication, Data Mining,

Embedded Systems, Computer

Vision, Instance Segmentation,

Shell Scripting

Hardware Experience:

Microcontrollers, Oscilloscopes,

Power Supplies, Lock-in

Amplifier, Optical Equipment


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


Boy Scouts of America:Eagle

Scout Rank, December 2013


English, Conversational Japanese


Projects and publications continued on next page:


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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