I help developers adopt AI and open-source technologies through working code, clear documentation, hands-on workshops, and community programs. I also bring their questions and feedback to product and engineering teams to improve the developer experience.

Developer advocacy experience with

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Nebius - AI Developer Advocate (2025-present)

At Nebius, I focus on developer advocacy for Nebius Token Factory, working across open models, coding agents, and AI inference to help developers move from exploring a model to building with it.

  • Code and documentation: Build examples, demos, and reference applications that developers can run and adapt.
  • Developer education and support: Deliver talks and workshops, host webinars and Builder Hours, and provide technical guidance at hackathons.
  • Product collaboration: Bring developer questions and feedback to engineering and product teams.
  • Partner programs: Work with partners and event teams to create hands-on developer programs.

Projects

  • Token Factory Cookbook: Author and maintain practical examples and tutorials; collaborate with contributors and review pull requests.
  • Practical LLM Evals: Build lightweight, browser-based benchmarks and visual tools for comparing model speed, quality, cost, and capabilities.
  • LLM Snake Arena: Created an interactive demo in which language models compete in the classic Snake game.

Events and presentations

The AI Alliance - Developer Advocate and Open-Source Contributor (2024-2025)

I worked with the AI Alliance community on data preparation and RAG, combining upstream contributions with examples, workshops, and developer support.

  • Developer experience: Contributed code, API improvements, documentation, and fixes to Data Prep Kit; reported usability issues and gathered feedback for the project team.
  • Hands-on learning: Created runnable examples and taught data preparation and RAG workflows at conferences, meetups, and hackathons.
  • Community programs: Co-created and co-hosted AI Alliance Office Hours, featuring open-source AI projects and conversations with the community.

Projects

  • Data Prep Kit: Contributed code, API improvements, documentation, and fixes to the upstream project, with a focus on data-preparation and RAG workflows.
  • Data Prep Kit Examples: Created a companion repository of runnable examples, notebooks, reusable tutorials, and workshop material.

Events

MongoDB - Fractional DevRel (2023-2024)

I helped developers build AI applications with MongoDB Atlas Vector Search through example applications, tutorials, and workshops.

  • Built examples connecting MongoDB Atlas with generative AI workflows.
  • Authored quick-start guides for Python developers, from their first Atlas connection to vector search with OpenAI.
  • Presented at DeveloperWeek and AI User Conference, and supported developers at MongoDB and Mistral hackathons.

Projects

Articles

Events

Intel - Developer Advocate for BigDL

I helped developers explore Intel’s BigDL framework for distributed deep learning through practical training and reusable learning materials.

  • Created labs, tutorials, and Docker environments for hands-on learning.
  • Delivered workshops for Intel teams and the ACM Silicon Valley community.
  • Presented at AWS re:Invent on deep learning with BigDL.

Resources

Let’s Work Together

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