Tim Rivoli

Senior Solutions Architect at Squire Patton Boggs

San Francisco, California, United States
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Summary

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Senior
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Top School
Tim Rivoli is a Senior Solutions Architect in San Francisco with 8+ years in senior technology roles and over two decades of hands-on IT experience in legal and professional services. He excels at digging into complex infrastructure and security problems, implementing durable, cost-effective solutions—from firewall rule reengineering and egress filtering to global email archiving and remote data center resiliency. Known as the go-to SME for both executives and front-line engineers, Tim combines rapid technical uptake with clear communication and a pragmatic focus on compliance and client service. He has led cross-border platform consolidations supporting thousands of users and reorganized tens of thousands of file shares to reduce compliance risk. Tim pairs deep systems engineering chops (Novell CNE, Windows/Exchange/SQL stacks) with a penchant for scripting and automation to eliminate toil and improve observability. He’s seeking the next long-term challenge where he can collaborate with teams that push his abilities further while building maintainable, secure systems.
code8 years of coding experience
job22 years of employment as a software developer
bookBachelor of Arts (B.A.), English Literature, Bachelor of Arts (B.A.), English Literature at University of Oregon
bookCNE, Network Engineering, CNE, Network Engineering at Novell Certified Network Engineer
languagesItalian, French, Spanish, German
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Stackoverflow

Stats
208reputation
4.5mreached
2answers
0questions
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Github Skills (32)

stock-data10
trading10
machine-learning10
machine-learning-algorithms10
reinforcement-learning10
stock-trading10
python9
recurrent-neural-networks9
tensorflow9
neural-network9
deep-learning9
supervised-learning8
trading-bot7
powershell6
exchange-management-shell6

Programming languages (2)

PythonKotlin

Github contributions (5)

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This is a Python 3 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
Contributions:91 commits, 142 pushes, 5 branches in 4 years 7 months
machine-learningpythontensorflowtradingpython3
Contributions:23 commits, 28 pushes, 3 branches in 3 years
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