Gene Dvoretsky
Talent Acquisition Leader at The DVO Group
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolGene Dvoretsky is a Talent Acquisition leader with over two decades of experience building high-performing recruiting organizations and driving sustained hiring growth across consulting, technology, and corporate services. Based in the Denver area, he has led global TA teams and scaled operations that boosted revenue and recruiter productivity for firms like The Doyle Group, North Highland, and CDW. Gene specializes in sourcing niche technical and programmatic talent—particularly in change management, data & analytics, and project/program management—and has a track record of designing processes, KPIs, and development programs that improve hiring outcomes. He also founded The DVO Group to enable tailored placements for candidates and clients, demonstrating entrepreneurial instincts alongside enterprise leadership. An unusual combination of humanities training (Shakespearean literature) and hands-on technical recruiting gives him a distinctive empathy-driven approach to talent matching. He contributes to technical communities as well, having implemented and optimized image thresholding algorithms in scikit-image, reflecting a practical curiosity about data and algorithmic tools.
12 years of coding experience
10 years of employment as a software developer
BA English Economics and History, BA English Economics and History at The Ohio State University
Russian
Github Skills (6)
computer-vision10
scikit-image10
python10
image-processing10
numpy10
testing9
Programming languages (7)
Github contributions (5)
scikit-image/scikit-image
Aug 2013 - Jan 2014
Image processing in Python
Role in this project:
Data Scientist
Data ScientistContributions:14 commits in 5 months
Contributions summary:Gene primarily focused on implementing and improving image thresholding algorithms within the scikit-image library. They added a new thresholding method, Yen's method, and optimized its implementation. They also added unit tests for the new algorithm and existing thresholding methods. Further contributions included code style improvements and the addition of the ISODATA thresholding method.
image-processingpythoncomputer-visionimage
radioxoma/micromanager-samples
Apr 2014 - Sep 2019
Contributions:26 commits, 5 pushes, 1 comment in 5 years 6 months
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