Controls Engineer
Resume:
James Tacey
251-***-**** ***** Fieldstone Drive Madison, AL *******@*****.***
QUALIFICATIONS
Electrical engineer with 5 years of experience in software and hardware in industrial and research settings.
3 years of experience in development and commissioning of PLC and DCS systems.
Comprehensive computer skills, familiarity with multiple programming languages with a minor in computer science.
Self-motivated contributor with the ability to communicate effectively in both group and leadership roles.
EDUCATION
Auburn University, Auburn, AL • May 2012 • Graduate Level Coursework in Electrical Engineering • GPA: 3.63/4.0
The University of Alabama, Tuscaloosa, AL • May 2010 • Bachelor of Science in Engineering, Honors College
• Minor in Computer Science; Minor in Mathematics • GPA: 3.65/4.0
PROFESSIONAL EXPERIENCE
National Technical Systems (NTS), Huntsville, AL – Controls Engineer Consultant 2015-Present
Provided oversight, design, and programming of controls and automation for commercial applications.
Scoped a variety of hardware and software platforms for new business units.
Automated robotics equipment using Intelligent Actuators to perform a multitude of assembly functions.
Premier Systems Integrators, Decatur, AL – Process Controls Engineer II 2013-2015
Design, test, implement, and document industrial controls for a variety of corporations.
Specialized in DCS and PLC applications including DeltaV, Experion, and ControlLogix.
Documented work using AutoCad Electrical 2013.
Created a program to reduce a standard project from a 45-hour job to less than 8-hours. Tool is now in regular use by all teams.
Oversee and manage personnel for installation and acceptance testing of equipment.
Georgia Pacific, Baton Rouge, LA – Process Controls Engineer 2012-2013
Daily servicing and custom scripting in Honeywell Experion and Emerson DeltaV DCS environments.
Attended advanced courses in configuring and commissioning both DeltaV and Experion environments in a professional and standardized method.
Programmed multiple PLC platforms including Allen Bradley RSLogix 5000 and Siemens 7.
Experienced with Allen Bradley 1336, PowerFlex 700, and Powerflex 755 series drives and associated drive software: DriveExecutive and DriveExplorer.
Led projects for alarm management, DCS graphics clean-up, and drive upgrades.
Diagnosed various problems such as equipment failure, poor loop tuning, and communications problems.
Auburn University, Auburn, AL – Graduate Teaching Assistant 2011-2012
Provided assistance and guidance to students working in Senior and Junior level electrical engineering labs.
In-depth knowledge of Dragonfly embedded platform and experience in development.
Hands-on experience in a teaching and leadership environment.
Auburn University, Auburn, AL – Graduate Research Assistant 2010-2011
Researched various Built-In-Self-Test (BIST) methodologies and implementations for fault detection.
Applied various BIST techniques to FPGAs and ASICs to increase fault tolerance and detection.
Developed software to predictively model likely fault sites using parasitic capacitance extracted using Cadence. Prediction of fault sites allows for a more proactive approach to dealing with faults.
Published research paper relating to predictive fault modeling approach (see achievements).
The University of Alabama, Tuscaloosa, AL – Undergraduate Research Assistant 2008-2010
Assisted in development of Sway, an educational programming language based around Python.
Published research paper on Sway user-interface libraries I created and implemented (see achievements).
Boise Cascade LLC, Jackson, AL – Co-op Engineer Summer 2006, 2007, 2008
Worked as a process controls engineer implementing Allen Bradley PLCs in the paper making process.
Experience with OSIsoft PI software package, experienced in data collection.
Developed software in Visual C++ for PLC error translation and correction to streamline maintenance.
Created a user controllable, automatically updated website using SQL database.
Improved safety by aiding in a movement to implement new regulations relating to ring safety by using various research statistics and presenting powerful messages.
Participated in industrial safety and maintenance regulations associated with electrical and chemical systems.
ACHIEVEMENTS
Co-authored research paper titled “Language Subsetting via Reflection and Overloading.” Presented at the 39th ASEE/IEEE Frontiers in Education Conference.
Dean’s List (3.5+ GPA) 7 terms in undergraduate education, President’s List (4.0 GPA) for 5 terms in same.
Eagle Scout, 2002.
University of Alabama Presidential Scholarship, Boise Scholarship, and US Steel Engineering Scholarship.
Co-authored research paper titled “Weighted bridging fault coverage using capacitance extraction.” Presented at Southeastern Symposium on System Theory 2011.
ADDITIONAL SKILLS
Microsoft Office Professional Package, including VBA.
Intimate knowledge of high level programming languages (C++, ANSI C, Java, Python).
Intimate knowledge of PHP and familiarity with a variety of scripting languages (JavaScript, VBA script).
Intimate knowledge of low level and hardware languages (MIPS Assembly, Verilog, VHDL, various IDE’s).
Familiarity with Unix based operating systems.
Skilled in computational and simulation software (Matlab, MathCAD, OrCAD, Entech Collect Package).
Familiarity with the basic functionality of GPU programming (CUDA).
Experience with OSI network model and various aspects of networking and virtual networking (VMWare).
Intimate knowledge of embedded device microprocessor emulators (QEMU for ARM, Alpha, x86).
Experienced with NIOS II and Vertex-5 FPGAs and their associated IDEs.
Experienced in applying signal processing techniques for images and videos using Matlab.
Understanding of loop diagnosis using Bode plots, Power Spectrum plots, and Correlation plots to improve performance and reduce process variability.
Application of various tuning techniques such as Lambda (IMC) and Ziegler-Nichols tuning.
Application and understanding of variety of signal processing techniques such as signal to noise ratio improvement using filtering, neural networks for data processing, and fast Fourier transforms (FFT) for correlation and power spectrums.
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