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Individuals interested in running for this position must update edit this wiki page with their biography and statement of intent on why you would be a good person to hold this position .(Information on Candidates)
The nomination phase starting 27 Nov and will conclude on 07 18:00 PT (1502:00 UTC).
Election Phase
If there are multiple nominees come forward, an election will be conducted as follows:
Voting Method:
A Condorcet election
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using a ranked-choice voting platform
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administered by the Linux Foundation.
Voters:
All TAC members will receive an invitation to vote
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via email.
Timeline:
The election phase will begin
with the distribution of the
voting instructions.
Voting will remain open for four (4) full business days
from the
time
the poll
is initiated
(typically in the PDT time zone).
Information on Candidates
Name: Fatih E. NAR
Company: Red Hat
Short Biography: Fatih, known as "The Cloudified Turk," is a knowledge driven curious mind with significant contributions to the telecom, media, and entertainment (TME) sectors over multiple geos with many enterprises and service providers. Before joining Red Hat, he held noteworthy positions at Google, Verizon Wireless, Canonical Ubuntu, and Ericsson, mastering his abilities & expertise in modular software centric solutions across various business & technology challenges. With a strong & continuously refreshing educational background, holding an MSc in Information Technology and a BSc in Electronics Engineering, Fatih excels in creating synergies with major hyperscaler and cloud providers to develop industry-leading business solutions. Fatih's thought leadership is evident through his widely appreciated technology articles (Open 5G HyperCore series) on Medium , and AI work on GitHub and HuggingFace where he consistently collaborates with subject matter experts and tech-enthusiasts globally. LinkedIn Profile: https://www.linkedin.com/in/fenar/
Statement of Intent: : Doing collaborative applied AI/ML work that brings value to businesses and organizations. Some of our example work can be visited & contributed here: https://github.com/tme-osx/TME-AIX