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#+TITLE: Jonathan Jin
#+SUBTITLE: AI and Machine Learning Engineer
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[[file:profile.jpg]]

* About Me

  I'm a AI/ML engineer with a specialization in platform and infrastructure. I am currently a Staff
  ML Engineer at [[https://hinge.co/][Hinge]], where I was a founding member of the AI Platform Core team. My focus areas
  have been around: agentic systems; online model serving; and data/feature engineering for agentic
  AI and traditional ML.

  I have previously helped build and scale machine learning platform and
  infrastructure at Spotify, NVIDIA, and Twitter (pre-X). I have also acted as
  Engineering Advisor for the non-profit [[https://www.humane-intelligence.org/][Humane Intelligence]], where I worked
  with [[https://www.rummanchowdhury.com/][Dr. Rumman Chowdhury]] to build a community of practice around the
  burgeoning field of algorithmic audit and evaluation in service of responsible
  AI.

  I've also worked on site reliability and observability infrastructure at Uber,
  contributing to the systems that ultimately led to the creation of [[https://m3db.io/][M3DB]] and
  [[https://chronosphere.io/][Chronosphere]].

  I'm a +mildly traumatized+ proud alumnus of the [[https://www.uchicago.edu/][University of Chicago]], where I
  studied computer science and economics.

* Resume

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  <object data="resume.pdf" type="application/pdf" width="100%" height="500px">
    Download: <a href="resume.pdf">here</a>.
  </object>
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* Talks

  - [[https://www.youtube.com/watch?v=AaEMUlmKO4s&list=PLAesBe-zAQmFUeS0gMFSII4m-Zw4CoOoE]["Trimming the Long Tail of Production Model Ownership at Hinge"]], [[https://www.datacouncil.ai/][Data Council]] (2025)
  - [[https://youtu.be/_nsTcYtfnXU]["Accelerating Time-to-Production for ML at Hinge"]], [[https://raysummit.anyscale.com/flow/anyscale/raysummit2024/landing/page/eventsite][Ray Summit]] (2024)
  - [[https://twimlai.com/conf/twimlcon/2022/session/how-spotify-is-navigating-an-evolving-ml-landscape-with-hendrix-platform/]["How Spotify is Navigating an Evolving ML Landscape with Hendrix Platform"]],
    [[https://twimlai.com/conf/twimlcon/2022/][TWIMLcon]] (2022)
  - [[https://mlconf.com/sessions/empowering-traceable-and-auditable-ml-in-production-at-spotify-with-hendrix/]["Empowering Traceable and Auditable ML in Production at Spotify with
    Hendrix"]], [[https://mlconf.com/][MLconf San Francisco]] (2022)
  - [[https://www.youtube.com/watch?v=KUyEuY5ZSqI]["Scaling Kubeflow for Multi-tenancy at Spotify"]], [[https://events.linuxfoundation.org/kubecon-cloudnativecon-north-america/][KubeCon + CloudNativeCon North America]] (2021)

* Contact

  - [[https://linkedin.com/in/jinnovation/][Linkedin]]
  - [[https://github.com/jinnovation][GitHub]]
  - [[https://huggingface.co/jinnovation][Hugging Face]]

* About This Site

  This site is written with Emacs as a standard [[https://orgmode.org/][Org mode]] file, exported to
  static HTML with [[https://watercss.kognise.dev/][Water.css]] for styling. It uses [[https://mozilla.github.io/pdf.js/][PDF.js]] for in-line resume
  display on browsers that support it.

  This site tracks site visits using [[https://plausible.io/about][Plausible]], a privacy-friendly and
  open-source Google Analytics alternative that collects no personal data.

  The site is hosted on GitHub with [[https://pages.github.com/][GitHub Pages]]. Take a look at the (truly very
  tiny) repo [[https://github.com/jinnovation/jinnovation.github.io/][here]], if interested.