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BetterSleep

Former engineer at BetterSleep — a top wellness app with millions of users worldwide. Built ML features that became the app's best-selling content category and internal tools that cut content production from weeks to days.

BetterSleep case study preview

Key Highlights

  • Millions of users worldwide — shipped features at true production scale on iOS and Android
  • ML-generated music became the app's top-selling content category — a direct revenue driver
  • Built internal tools that cut content production from weeks to days — still in use by the team
  • Calibrated audio quality across every device type for consistent sound on any phone or tablet
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ML-Powered Content That Sells

  • Built an ML system for generating and classifying sleep sounds — the content it produced became the app's top-selling category and a direct revenue driver.
  • Calibrated audio quality across every device type — phones, tablets, different speakers — so the experience sounds great no matter what the user owns.

Smart Sounds Calibration

  • Fine-tuned sound intensity and loudness for the Smart Sounds feature used by millions every night.
  • Built precision refinement processes to ensure studio-quality audio mixes worked consistently at scale across all devices.

Tools That Made the Team Faster

  • Created internal QA and preview tools for the audio team — content that used to take weeks to produce, test, and ship now goes out in days.
  • These tools were adopted by the broader engineering team for their daily workflows and are still in active use today.