Network Advisory Board Candidacy

Hey everyone, really enjoying seeing all the submissions come in. As the incoming Chair of the Network Advisory Board, I wanted to share a bit about why I’m stepping into this role and how I hope to contribute.

  1. Who are you and how do you spend your time?
    I’ve always seen myself as a builder. Since I was a kid, I’ve been obsessed with how things work, drawn to complex problems and thinking through how to solve them. That curiosity naturally led me to open source, artificial intelligence, and robotics — and eventually to decentralization as a way to build more open and fair systems.

    These days, I spend most of my time working on Livepeer and maintaining open-source tools. Outside of that, I enjoy making music, traveling, and spending time with friends and family. I’m happiest when I’m creating — whether it’s writing code, building mission-driven contributor groups, crafting new ideas, or sharing meaningful experiences.

  2. Why are you a Livepeer Contributor?
    I was initially drawn to Livepeer by my love for open source, decentralization, and its mission to build the world’s permissionless, open video infrastructure — especially as AI becomes increasingly dominated by a few centralized players.

    What keeps me here is the unique dynamic of the Livepeer community: decentralized yet deeply collaborative, driven by a shared vision and full of people who are generous with both their time and knowledge. I’m constantly inspired by the range of interesting problems we’re solving — and the level of expertise among contributors tackling them. It’s a space that challenges me to grow every day, and one I’m proud to be building in.

  3. What is your relationship with the Livepeer network?
    I began following Livepeer as a delegator in 2019, quietly participating from the sidelines via a compute pool. In 2023, after finally getting fast enough internet, I stepped in as an orchestrator and began scaling my operations. As an open-source developer at heart, I naturally started contributing to the core stack through pull requests and community conversations.

    Driven by my passion for AI and decentralization, I began exploring how AI training and inference could work on the Livepeer network and started conversations around its potential. Around the same time, Livepeer leadership was exploring similar ideas and invited me to lead the effort to bring AI compute to the network.

    Over the past 16 months, I’ve been leading the AI SPE, working closely with both the community and Livepeer Inc. to advance that effort and help position the network as a leading platform for decentralized, media-focused AI workloads. More recently, I’ve been collaborating with Rich, Joseph, and Ben to help establish the Livepeer Foundation, where I’ll serve as Technical Lead. This journey — from open-source contributor to leading Livepeer’s AI initiative, and now helping shape the Foundation — has been deeply personal and rooted in my belief in permissionless access to AI and the unique role Livepeer can play in enabling it.

  4. Why are you a good fit for the Network Advisory Board?
    With a background in computer science and AI, I’m used to working through complex technical problem spaces and thinking across systems. Over the past several months, I’ve worked closely with both the community and Livepeer Inc. on the core network software, which has given me deep familiarity with the full stack — while also bringing me into close collaboration with many of the contributors building both the protocol and the products on top of it.

    I’m naturally drawn to understanding how the ecosystem fits together — from protocol to applications to governance — and to thinking about how we build toward a shared, long-term vision. I hope to bring that perspective to the Network Advisory Board: helping surface limitations, identify opportunities, and support a technical roadmap for a highly performant network that others can reliably build on.

  5. What is one area where the Livepeer network is strong, in relation to Network?
    Livepeer is uniquely strong in its ability to perform video-related compute at scale. Unlike general-purpose compute networks, our infrastructure is optimized for real-time and batch video processing. This specialization, combined with a mature and reliable orchestrator network, gives us a clear edge. We also benefit from a deeply experienced core contributor team, a growing open-source contributor base, and a strong culture of decentralization and technical collaboration.

  6. What is one area where the Livepeer network could improve, in relation to Network?
    While the network is strong on the supply side — with a reliable orchestrator set and mature job routing — demand onboarding remains a key area for improvement. We need standardized APIs, better documentation, and a smoother developer experience, particularly at the gateway layer, to lower the barrier for building on the network.

    We also need greater visibility into the network: clear, aggregated data on jobs performed, active gateways, and on-chain ticket distinctions would help build trust and guide usage. Additionally, the current network stack can be overly tailored to specific use cases. Simplifying the core and enabling a more modular, plugin-based architecture would support a broader range of applications — diversifying demand and improving the network’s resilience.

    Lastly, improving job verification and integrating content provenance — especially for AI-generated media — will be important for ensuring reliability and transparency at scale.

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