Skills
- Proficient with Linux/Unix, OS X, Windows, Python, Go, SQL (including database design), HTML5, Java, and Bash.
- Familiar with C, JavaScript (including jQuery), and Perl.
- Mathematical background includes machine learning, data mining, numerical analysis, and linear algebra.
- Knowledge of x86 assembly language.
- Experience with computer and network troubleshooting, repair, and installation.
Education
North Carolina State University, Fall 2002–Spring 2006
Bachelor of Science in Computer Science—GPA 3.18
Experience
Machine learning self-study, July 2015–present
- Replicated multiple results from researchers in the field.
- Machine learning art project implementing image stylization.
- Improving on state-of-the-art results, implementation of image stylization capable of generating arbitrarily large output images using multiple GPUs.
- Implementation of image stylization cited in an academic paper.
Application Support Engineer, November 2012–November 2014
Google, Mountain View, CA
- One year contract position on the Street View and aerial imagery collection teams, extended to two years after positive evaluations.
- Provided immediate and ongoing systems support while automating the processes I supported to enable scaling novel projects to full production capacity.
- Ensured SLAs were met by coordinating with field personnel at remote locations to initiate, preserve, and restore the functioning of complex data collection/transmission systems.
- Assisted in the development and implementation of rapid-scaling processes, allowing us to quickly transition from pilot projects to worldwide operations.
Systems Engineer, July 2011–January 2012
Autonomy Corporation, Pleasanton, CA
- Deployed new installations of a custom Linux distribution.
- Wrote Perl scripts to automate customer-visible monitoring tasks using nagios.
Junior System Administrator, February 2007–May 2009
EMC Corporation, Research Triangle Park, NC
- Was responsible for identifying faults in and troubleshooting 10–20 storage arrays with around 1,000 disks total.
- Maintained automatic scripts for testing the I/O performance of development software and prototype hardware, and for archiving and reporting the results.
- Developed a web application for internal use in Perl, which monitored the health of the storage arrays, logged any errors it found to a MySQL database, and allowed viewing of current status as well as generating reports regarding when an error had first been seen.
- Set up and maintained a VMWare ESX cluster which was a critical part of my team’s infrastructure.
Research Assistant, October 2005–August 2006
North Carolina State University, Raleigh, NC
- Developed alternate algorithms using Matlab to compute solutions to Google’s PageRank problem. Characterized performance of PageRank algorithms on different input datasets.
- Gave a talk at the A. A. Markov Anniversary Meeting in June 2006.
References available upon request.