Richard Hay 7122 Laramie Lane Corpus Christi, Texas 78414 | (361) 774-4178 |Email: RichardHayJobs@gmail.com | Linkedin: http://www.linkedin.com/pub/richard-hay/a8/64a/237

Education

B.S. COMPUTER SCIENCE | SUMMER 2012 | TEXAS STATE UNIVERSITY

· Major: Computer Science

· Minor: Mathematics

· Related coursework: Intro to Database Systems (CS 4332), Unix Systems Programming (CS 4350), Software Engineering (CS 3398), Digital Logic (CS 2420), Computer Architecture (CS 3339)

M.S. COMPUTER SCIENCE | FALL 2014 | TEXAS STATE UNIVERSITY

· Major: Computer Science

· Thesis: Machine Learning Based DVFS for Energy Efficient Execution of Multithreaded Workloads

· Related coursework: Formal Languages (CS 5392), Parallel Processing (CS 5351), Software Quality (CS 5393), Graphical User Interfaces (CS 5389)

Skills & Abilities

CODING

· Expertise: Bash, R, C++, Java, Parallel Programming, Microsoft Office Suite 2015, Microsoft Azure Cloud Services, SQL. Sqllite3, MySql/MyPhp, Dreamweaver CS3, Photoshop, Linux, Mac, and Windows, Unix Systems/Network Programming, Apache Webservers, Game Servers, UI, UX, GUI, HCI, HCF.

· Familiarity: Hadoop, Python, C#, cLISP, OpenGL/QT, Machine Learning, LaTeX, Visual Basic, Android, HTML 5.

RESEARCH

· Used Dynamic Voltage and Frequency Scaling (DVFS) to save power on Intel processors using a software based solution that was primarily focused on forecasting using machine learning.

· The project was funded by the Semiconductor Research Corporation (SRC) which is sponsored by companies such as Intel and Samsung.

COMMUNICATION

· Fluent in Spanish and English. Student Volunteer for Junior Achievement which taught economics to 5th graders in South Texas. I presented posters at a public viewing session at Super Computing ’13 in Denver attended by thousands. I worked in a collaborative group focused on DVFS research that included 10 people by the time I graduated.

SELECTED PUBLICATIONS

· SC13 Technical Poster: Algorithmic Choice in Optimization Problems: A Performance Study. http://sc13.supercomputing.org/sites/default/files/PostersArchive/post133.html

· SC13 Technical Poster: Enhancing Learning-Based Autotuning with Composite and Diagnostic Feature Vectors. http://sc13.supercomputing.org/sites/default/files/PostersArchive/post115.html

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· Thesis: Machine Learning Based DVFS for Energy Efficient Execution of Multithreaded Workloads https://digital.library.txstate.edu/handle/10877/5363

Experience

GRADUATE RESEARCH ASSISTANT | TEXAS STATE UNIVERSITY | JUNE 2012 - DECEMBER 2014

· Performed supervised and independent research on DVFS topics. Participated in NSF funded research supervised under Dr. Dan Tamir and Dr. Apan Qasem. Performed weekly progress summaries and research. Participated in weekly research meetings. Prepared posters papers and presentation on research results.

IT INTERN | CORPUS CHRISTI ALLERGY & ASTHMA CENTER | DECEMBER 2007- JANUARY 2008

· Worked with IPX, Surveillance hardware, network installation, remote access, built computers, installed software, HIPPA compliant documents and procedures.