Bob Briski

Co-founder & Principal at Fureelz

San Jose, California, United States
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Summary

🤩
Rockstar
🎓
Top School
Bob Briski is a seasoned technology operator and founder with 14+ years building data, AI, and engineering organizations and a track record of scaling teams from startup to enterprise. He served as CTO/Global SVP of AI at DEPT®, co-founded consumer AI startup GlowGuide, and now runs Signal & Engine to acquire and operate founder-led Bay Area SMBs while advising early-stage product teams. Bob combines deep hands-on technical chops—evidenced by meaningful open-source contributions to the fog Ruby cloud library enhancing AWS EMR and Hive support—with a CFO-minded operator’s instinct for what truly moves the P&L. He’s known for pattern-matching across hundreds of organizations to spot scale blockers, a high bar for hiring and accountability, and practical fixes for aging systems or owner-dependent operations. Based in San Jose, he actively sources off-market deals and advises mobile and AI teams, pairing startup grit with enterprise process rigor.
code15 years of coding experience
job11 years of employment as a software developer
bookBachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at University of Pittsburgh
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Stackoverflow

Stats
590reputation
24kreached
3answers
4questions
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Github Skills (14)

emr10
aws10
cloud-computing10
ruby10
apidoc9
api9
wsdl6
devise6
cookie6
amazon-emr6
amazon-web-services6
soap6
exacttarget6
ruby-on-rails6

Programming languages (7)

JavaCSSJavaScriptGoHTMLRubyPython

Github contributions (5)

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fog/fog

Sep 2011 - Dec 2011

The Ruby cloud services library.
Role in this project:
userBackend Developer
Contributions:5 commits in 3 months
Contributions summary:Bob made significant contributions to enhance the `fog/fog` library's Amazon Elastic MapReduce (EMR) functionality. Their work included adding methods to control EMR, like `run_job_flow` and `add_instance_groups`, and enabling the ability to execute Hive jobs. The user also developed improvements to how options hashes are handled and included crucial code for configuring and installing Hive on EMR clusters. These changes expanded the library's capabilities for cloud services, primarily related to AWS.
cloud-servicesruby
Raybeam/batchy

Mar 2012 - Mar 2014

Contributions:34 commits in 2 years
rustbatching
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