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Armchair Economist at Patterson Consulting
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
At Patterson Consulting we look for opportunities to drive line of business results with our Fortune 500 partners. We focus on platform and data engineering, specifically migrating legacy platforms to cloud data warehouses such as Databricks. Specialties: Deep Learning, Neural Networks, Market Analysis, Embedded Systems, Swarm Algorithms
The University of Tennessee at Chattanooga
Masters, Computer Science
January 1, 2005 – January 1, 2008
The University of Tennessee at Chattanooga
Bachelors, Business Management
January 1, 1995 – January 1, 2001
Skymind.ai - Deep learning for the JVM
VP Field Engineering
May 1, 2017 – March 1, 2018
San Francisco Bay Area
Relish
Advisor
April 1, 2016 – Present
San Francisco Bay Area
Skymind.ai - Deep learning for the JVM
Director of Field Engineering
April 1, 2016 – May 1, 2017
San Francisco Bay Area
Skymind.ai - Deep learning for the JVM
Advisor
March 1, 2015 – March 1, 2018
San Francisco Bay Area
O'Reilly Media
Co Author - Deep Learning: A Practitioner's Approach
August 1, 2014 – Present
Continuuity
VP Services
August 1, 2013 – October 1, 2013
Palo Alto, CA
Patterson Consulting
CEO
February 1, 2013 – Present
Cloudera
Principal Solutions Architect
May 1, 2012 – January 1, 2013
Cloudera
Senior Solutions Architect
April 1, 2011 – May 1, 2012
Cloudera
Solutions Architect
April 1, 2010 – May 1, 2011
Tennessee Valley Authority
Distributed Systems and Datamining Lead
February 1, 2009 – April 1, 2010
University of Tennessee at Chattanooga
Graduate Research Assistant
August 1, 2005 – December 1, 2008
LEWCON, LLC
Programmer Analyst
July 1, 2005 – December 1, 2008
Cerillian
President, Programmer
October 1, 2002 – August 1, 2006
USXpress
Systems Analyst
September 1, 2001 – October 1, 2002
Realty Center, GMAC
Sr Programmer
July 1, 1998 – August 1, 2001
Metronome
March 1, 2013 – Present
Metronome is a suite of parallel iterative algorithms that run natively on Hadoop's Next Generation YARN platform. Algorithms include: - Linear Regression - Logistic Regression - Neural Networks - K-Means
Knitting Boar
July 1, 2012 – Present
Knitting Boar is an experimental machine learning application which parallelizes Mahout's Stochastic Gradient Descent on top of a new YARN based framework for Hadoop called Iterative Reduce. Video from Strata 2012: http://www.youtube.com/watch?v=h7YTOmq-kt0&feature=BFa&list=PL4C0DCF8A2DB69081
IterativeReduce
June 1, 2012 – Present
Designed specifically for parallel iterative algorithms on Hadoop Implemented directly on top of YARN Intrinsic Parallelism Easier to focus on problem and less on distributed programming
Lumberyard
August 1, 2010 – Present
Lumberyard is iSAX indexing stored in HBase for persistent and scalable index storage. Lumberyard is based on the paper: http://www.cs.ucr.edu/~eamonn/iSAX.pdf
openPDC
January 1, 2009 – February 1, 2010
The openPDC adminstered by the Grid Protection Alliance (GPA) is a complete Phasor Data Concentrator software system designed to process streaming time-series data in real-time. Measured data gathered with GPS-time from many hundreds of input sources is time-sorted and provided to user defined actions as well as to custom outputs for archival.
Cultural Fit Analysis
The candidate demonstrates a strong entrepreneurial spirit and a history of working with cutting-edge technologies (Hadoop, Deep Learning, Smart Grid). Their involvement in open-source projects (openPDC) and academic research (Graduate Research Assistant) suggests a proactive, learning-oriented, and collaborative mindset. The diversity of roles, from hands-on programming to strategic leadership and authorship, indicates adaptability and a broad interest in technology, which could align well with dynamic and innovative environments. However, the target role of 'NLP Engineer' is not explicitly covered by direct project or experience descriptions, which might require a deeper dive into their specific NLP exposure.
Soft Skills & Operational Fit
The candidate's career trajectory from programmer to VP of Field Engineering and CEO of a consulting firm, along with co-authoring a technical book, suggests strong leadership, communication, and problem-solving skills. Their advisory roles indicate strategic thinking and a collaborative approach. The focus on field engineering and consulting implies strong client-facing and project management capabilities, which are valuable for operational fit.