/
2026 AI Seat Election

2026 AI Seat Election

The scope of this seat will include, but not be limited to:

  • The role of the AI SME is to work with project TSCs, the TAC, and the LFNGB to facilitate and accelerate the adoption of AI technologies by LFN projects.

  • Advise the TAC on AI related issues.

    • Assist in incubating AI projects within the LFN umbrella

  • The AI SME will identify across open source AI technologies and provide action recommendations. That may include:

    • AI Initiatives within the LFN

    • LF AI and Data projects and initiatives

    • Other adjacent open source communities

    • Industry at large

  • Serve as a liaison between the TAC and the AI Task Force

    • During the lifetime of the AI Task Force

  • Provide subject matter expertise to the TAC.

Election Mechanics

How to nominate yourself

The election process occurs in two phases: the Nomination phase and the Election phase.

Self Nomination Phase

Individuals interested in running for this position must 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 Feb 18, 2026 and will conclude on Mar 4, 2026  18:00 PT (02:00 UTC). 

Election Phase

If multiple nominees come forward, an election will be conducted as follows:

  • Voting Method:

    • A Condorcet election using a ranked-choice voting platform administered by the Linux Foundation.

  • Voters:

    • All TAC members will receive an invitation to vote 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:

Photo <optional>:

Company:

Short Biography:

Statement of Intent: 

 

Name: Murat Parlakisik

Photo

1516302529234.jpeg

 

Company:

Short Biography:

I am a Senior Software Development Engineer at Amazon with over 20 years of experience solving complex networking challenges across the industry. I hold two Master's degrees — one in Computer Networks from Marmara University (Turkey) and another in Machine Learning from Georgia Institute of Technology (USA) — and I am currently pursuing a PhD focused on managing terrestrial and non-terrestrial networks using AI.

I am a long-standing contributor to the open source networking ecosystem, with contributions to major projects including ONOS, OpenDaylight, and Cilium. Most recently, together with fellow open source enthusiasts, I co-founded Agent Exchange (AEX), an open source project that enables AI agents to discover, negotiate, and collaborate with each other through a marketplace-style broker — bringing transparency, trust scoring, and standardized protocols to multi-agent systems.

With deep expertise spanning both traditional networking and modern AI, I am passionate about driving open, community-led innovation at the intersection of these fields.

Statement of Intent:

I am running for the AI Seat because I believe the convergence of networking and AI is a fundamental shift in how networks will be designed, operated, and evolved. My background in both networking and open source positions me to identify practical opportunities where AI can enhance existing LFN projects and help project TSCs adopt AI technologies effectively. I will actively scan AI initiatives within LFN, LF AI & Data projects, adjacent open source communities, and the broader industry to provide actionable recommendations to the TAC. I am committed to serving as an active bridge between the TAC and the AI Task Force, and to providing informed, practical subject matter expertise grounded in both theory and real-world implementation. I would be honored to contribute to LFN's mission as AI SME.