David Ziegler  •  david.ziegler@gmail.com  •  San Francisco, CA


Stanford University, Stanford, CA (9/06 – 3/08)

Master of Science in Management Science and Engineering, Operations Research concentration

Additional coursework in machine learning, probability, and design.


Case Western Reserve University, Cleveland, OH (8/02 – 5/06)

Bachelor of Arts in Mathematics and Economics, minor in Political Science

Additional coursework in computer science, probability, and statistics.



Python, Django, Flask, Javascript, jQuery, Angular, Backbone, Puppet, SQL, Redis, HTML, CSS, Git, SVN.

Previous experience with C, Objective-C, C#, Lisp, Stata, SAS, R, GAMS. Preference for OS X, Linux, or BSD.



Product Manager/Lead Software Engineer, StreetLight Data, San Francisco, CA (11/2013 – Present)

Full stack web development using Angular, Flask, PostgreSQL and SQLAlchemy. Mentored junior developers through code reviews and best practices. Helped lead team to initial launch of product and quickly iterated upon customer feedback. Conducted usability studies, prioritized features, and prepared product roadmaps.

Co-Founder, Cloth & Dagger, San Francisco, CA (3/2012 – 8/2013)

Technical co-founder at a menswear e-commerce company. Responsible for all frontend and backend development, deployment, metrics, and inventory management.

Lead Software Engineer, Mingle Media Corporation, Palo Alto, CA (10/2009 – 10/2010)

Second employee at a growing startup. Headed a small engineering team to launch mingle.com and take it through several iterations. Created fraud tools, a queuing system, and analytic tools for conversion and usage tracking. Responsible for caching, scalability, new features, and overall site performance.


Freelance Web Developer, San Francisco, CA (1/2009 – 3/2012)

Freelance and consulting full stack web application development for various clients using Django and jQuery. Frontend development, backend development, and software design on wide-ranging consumer facing projects. Responsible for drafting and implementing technical specifications, iterating upon user feedback, and deployment.


Intern, Numenta, Menlo Park, CA (6/2007 – 9/2008) 

Conducted research on fault detection in power system, optical character recognition, computer vision attention mechanisms, and object recognition using LIDAR data.  Unsupervised and supervised learning algorithmic research. Used machine learning to provide proof of concept for the company’s algorithms and technologies.


Honors and Awards:

Case Western Reserve University Provost Scholarship, 2002 – 2006

Case Western Reserve University Department of Economics Robert N. Baird Award, 2006

Case Western Reserve University Experiential Learning Fellowship Research Grant, 2004

Case Western Reserve University SOURCE Research Grant, 2005

SOURCE Undergraduate Research Symposium, First Place in Social Sciences, 2006

Bowling Green State University Undergraduate Economics Conference, Second Place, 2006