Dave Gynn
Chief Technology Officer at Boldin
Kent, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolDave Gynn is a seasoned technology executive and CTO based in Kent, Ohio with 12+ years leading engineering teams and product delivery across startups and enterprise services. He has repeatedly combined hands-on Ruby/Rails performance engineering with strategic leadership—scaling teams at Optaros, co-founding Oasis Learning, and serving as VP Engineering at Intellum and UniversityNow before his current CTO role at Boldin. An active contributor to well-known Ruby open-source projects (friendly_id, paperclip, rack-mini-profiler, memory_profiler), he focuses on performance, memory profiling, and efficient slugging/lookup algorithms—practical expertise that informs platform architecture and DevOps choices. Comfortable moving between low-level optimizations and executive strategy, he has a track record of shipping measurable improvements in speed, memory use, and developer experience. Trained as an electrical engineer at the University of Pennsylvania, he blends formal engineering discipline with product-minded startup experience.
12 years of coding experience
20 years of employment as a software developer
BSE Electrical Engineering, BSE Electrical Engineering at University of Pennsylvania
Stackoverflow
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Github Skills (31)
ruby-rails10
performance-analytics10
strings10
performance-monitor10
code-profiling10
testing10
text-manipulation10
rails10
friendly-url10
ruby10
performance-analysis10
performance-optimization10
profiling10
activerecord10
memory-profiling10
Programming languages (3)
Github contributions (5)
SamSaffron/memory_profiler
May 2015 - Oct 2018
memory_profiler for ruby
Role in this project:
Back-end Developer
Back-end DeveloperContributions:71 commits, 24 PRs, 20 pushes in 3 years 4 months
Contributions summary:Dave significantly contributed to optimizing the `memory_profiler` library, focusing on improving performance and accuracy. Their work included enhancements to the results reporting, such as displaying memory usage and object counts, and optimizing the internal data structures and calculations. They made several code improvements to speed up string report generation, and they also addressed several bugs related to object handling and garbage collection. The user's changes improved the library's accuracy and performance.
memorymemory-profilerruby
MiniProfiler/rack-mini-profiler
Jun 2015 - Oct 2016
Profiler for your development and production Ruby rack apps.
Role in this project:Back-end Developer
Back-end DeveloperContributions:14 commits, 16 PRs, 14 comments in 1 year 3 months
Contributions summary:Dave contributed to the `rack-mini-profiler` project by implementing new features and improving existing ones. Their work involved enhancing the memory profiling functionality, adding support for serving assets in Rack 2.0, and improving exception tracing. They also made performance optimizations for the GC profiler and improved the SQL backtrace feature.
profilingrailsrackrubyproduction
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