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JayYun98/README.md

Jay Yun

AI Engineer · From LLM applications to production operations.

I build AI services and the systems that keep them running: Service (RAG, agent workflows), Platform (LLM gateways, guardrails, serving + inference optimization, and observability).

  • Previously at Toss Bank (15M+ user) — built and operated customer-facing and internal LLM services, then the shared LLM platform and LLMops behind them.
  • early MLX contributoroptimizers, Transformer components, and cosine-similarity loss.
  • Research — first author KDD 2023 (oral) and WWW 2025 (poster).

Interested in building AI-first products with small, ambitious teams. Canada first; also exploring the UK and Europe.

Fast learner + follower

LinkedIn · Publications

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  1. ml-explore/mlx ml-explore/mlx Public

    MLX: An array framework for Apple silicon

    C++ 28.5k 2.3k

  2. bagelcode-data-science-team/TransForeCaster bagelcode-data-science-team/TransForeCaster Public

    Python 6 4