Naomi is a software engineer who revels in finding effective solutions to difficult problems. She has particular interests in computer systems engineering and programming language design, especially languages tailored to specific problem domains. While she primarily works in software, Naomi can also draw upon her training in electrical engineering, and has a soft spot for signals analysis.

Engineer @ From May 2014 to Present (1 year 8 months) San Francisco Bay AreaCore Developer @ Network protocols, distributed systems for hosting web applications. From November 2012 to February 2014 (1 year 4 months) Senior Software Engineer @ Programming language design and implementation for performance-sensitive applications; developing best practices for software engineering in StreamBase EventFlow; framework design and implementation From July 2007 to November 2012 (5 years 5 months) Software Engineering Intern @ Helped write a GSM L3 base station and mobile phone simulator From 2005 to 2005 (less than a year) Software Engineering Intern @ Worked on experimental context-aware music playback and playlist management system. From June 2004 to September 2004 (4 months) Undergraduate Research Opportunities Program @ Developed electronic hardware to help control linear accelerator parts; used Matlab to model feedback-based methods to stabilize resonant frequencies. From June 2003 to August 2003 (3 months) Software Engineering Intern @ Developed techniques to increase the accuracy of finite-difference electromagnetic physical modeling software. From June 2002 to August 2002 (3 months) Software Engineering Intern @ Added time-frequency distribution signal visualization capabilities to electromagnetic physical modeling software. From June 2001 to August 2001 (3 months)

MEng, Electrical Engineering and Computer Science @ Massachusetts Institute of Technology From 2006 to 2007 SB, Electrical Engineering and Computer Science @ Massachusetts Institute of Technology From 2002 to 2006 Naomi Seyfer is skilled in: Software Engineering, java, compilers, programming language design, python, data structures, streambase, complex event processing, meteor