// project
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.
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.
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