Welcome

I'm Jacob Cutter, a former particle physicist now building AI reasoning and understanding systems. Here, you'll find lots of additional context on my work!

If you're interested in my professional profile, please see my LinkedIn or Resume. In the meantime, here are some highlights:

  • Building a scalable, auto-learning AI content engine for brand growth at GrowthX
  • Built a low-latency/real-time reasoner powering Agentforce Voice at Salesforce
  • Developed a conversational simulation + evaluation pipeline at Tenyx/Salesforce
  • Expanded early STT offerings and developed next-gen models at Deepgram
  • Created signal processing + analysis pipelines and designed experiments to enable dark matter detection at UC Davis Physics

Below are some of my projects/blog posts; see them all in Articles and Projects. Feel free to peruse my GitHub for some of my coding side projects as well.

Recent Projects

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Emotify: Filtering Spotify Playlists by Emotion
Building emotion classifiers from Last.fm, Spotify, and Genius data and deploying a Streamlit app on AWS EC2 that filters any public Spotify playlist by emotional content.
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Comp The Player: Classifying NBA Players
Performing informative NBA player comparisons to assess style of play using Random Forest classification.
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An RAPM Model to Assess NBA Players
Developing a lineup-independent NBA player impact model using ridge regression techniques on play-by-play data.
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An Interactive Bokeh App for NBA Stats Exploration
Building an interactive Bokeh dashboard to explore player, lineup, and play-by-play NBA data from scraped datasets.