Mar 2018 – Apr 2025 · 7 yrs 1 mo · Sunnyvale, California

• WaveAI is at the forefront of generative AI. We are changing how humanity creates and elevating human creativity to previously unimaginable heights. https://www.wave-ai.net/
• I manage developers and researchers both locally and remotely to help empower millions of people to express themselves creatively in ways previously thought to be reserved for only a special, talented few. We're using cutting edge technology to bring advanced AI and machine learning techniques to products anyone can use. The future of creativity is collaboration with AI.

Jun 2016 – Mar 2018 · 1 yr 9 mos · Pasadena, CA

• Working heavily in the space of natural language processing with an emphasis on understanding meaning behind social text. Entity linking, word sense disambiguation, topic modeling, and building word and paragraph/post models.

Sep 2014 – May 2016 · 1 yr 8 mos · Tallahassee, Florida Area

• This work involves tackling problems that require an in-depth understanding of statistical modelling and machine learning techniques, with a particular emphasis on personalization/recommendation systems and predictive modelling. In particular, in-depth knowledge of both supervised and unsupervised learning techniques, including, but not limited to, clustering, linear regression, SVM, decision trees, random forests, boosting, hierarchical dirichlet processes, neural networks, LDA, and deep learning. Experienced in model building and tuning, R, python, data pre-processing techniques.

Sep 2013 – Aug 2014 · 11 mos · Los Gatos, CA

• Work on personalization systems and services to drive continued innovation and global growth
• Design, implement and iterate on machine learning algorithms and A/B tests
• Optimize and enhance production systems
• Work collaboratively to drive projects from the idea stage through to running code

Jan 2013 – Present · 13 yrs 4 mos · Pasadena, California

• This work involves tackling problems that require an in-depth understanding of statistical modelling and machine learning techniques, with a particular emphasis on personalization/recommendation systems and predictive modelling. In particular, in-depth knowledge of both supervised and unsupervised learning techniques, including, but not limited to, clustering, linear regression, SVM, decision trees, random forests, boosting, hierarchical dirichlet processes, neural networks, LDA, and deep learning. Experienced in model building and tuning, R, python, data pre-processing techniques.

Feb 2008 – Oct 2009 · 1 yr 8 mos

• Developed creative solutions to complex problems using advanced software development practices
• Worked extensively in Java and Javascript

Sep 2007 – Feb 2008 · 5 mos

• Automated GUI functional tests by using an automated testing framework
• Development of a device application in Java

May 2005 – Aug 2005 · 3 mos

• Redesigned a knowledge network for maintaining training, courses, and instructor data within warehouses (C/C++, Java, Javascript, Perl, HTML, Mason)
• Integrated the redesigned knowledge network into the existing framework
• Implemented an import tool to migrate old data into the new system (C/C++, ODBC, Perl, SQL)
• Coordinated information between Labour Management and Knowledge Network teams

May 2004 – Aug 2004 · 3 mos

• Designed a labour management system for employees within warehouses, including the design and creation of a data model to store required information (C/C++, HTML, Mason, Perl, SQL)
• Explored the theory behind learning curves and how they can be generated in an automated system
• Worked well within the labour management team, using its members as a resource in order to design and implement the system better and faster
• Implemented the automatic generation of learning curves through data mining, mathematics, and with the use of pub/sub technology (C/C++, ODBC, Perl, Pub/Sub, SQL)
• Designed and implemented a web-based user interface (UI) for displaying learning curve data on demand (HTML, Javascript, Mason, Perl)

Sep 2003 – Dec 2003 · 3 mos

• Worked on linear optimization problems in order to improve efficiency in product placement and thus save money
• Ported a large Perl based system into Java to increase ease of maintenance and to take advantage of other existing Java components (Java, Perl)
• Improved data accuracy, which improved efficiency of product placement (Java, JDBC, Perl, SQL)
• Performed research and experimentation in order to determine where improvements could be made

Jan 2001 – Apr 2003 · 2 yrs 3 mos

• Four internships from Jan 2001 - Apr 2003 with Sybase
• Debugged and added features to a database indexing tool (C/C++, DBISQL, Java, Java, JDBC, ODBC, SQL)
• Designed, implemented and modified the user interface (UI) for a database indexing tool (Java, Swing)
• Designed and implemented a communications protocol over wireless networks (C/C++, ODBC, SMS, SQL)
• Developed enterprise Java beans for Java 2 Enterprise Edition application servers (Java, J2EE, JavaBeans, JDBC, JNI, EAServer, Tomcat, Weblogic)
• In-depth server-side programming for iAnywhere Wireless application server (Java, J2EE, JavaBeans, JDBC, JNI, EAServer)
• Designed and implemented transcoding software, which converted HTML into content for handheld devices in real-time (Java, HTML, WML, XHTML Basic, XML)

Mar 1997 – Aug 2000 · 3 yrs 5 mos

• Created and maintained web pages - both seasonally and for special occasions (CGI, HTML, Javascript, Microsoft Frontpage)
• Designed and implemented Java applet games (Java)
• Adopted new technologies quickly and efficiently to meet deadlines