Music intelligence · 2024—2025
Music Stats
Making a world of music data
feel immediately useful.
Independent thinking. Shared ambition.
Open to the right team
I’m Jay, a product engineer. Yes, I use AI too. I’m still picky about what ships.
I care about what’s worth building, how it feels to use, and the code the next person inherits. That’s where taste, judgment, and standards make the difference.
And yes, this portfolio is AI-generated. With taste. 😭 No ordinary AI slop here.
01 / Selected work
Music intelligence · 2024—2025
Making a world of music data
feel immediately useful.
AI recruitment · 2023—2026
AI can do more.
People should stay in control.
I built the frontend across a connected suite for talent search, interviewing, assessment, and learning.
Explore the decisionsRecommendations remain inspectable and reviewable, with source context and clear human actions nearby.
02 / Beyond the product
The same care goes into the foundations: reusable interfaces, flexible content, and room for a brand to be itself.
03 / The way I work
I work close to the problem, connect product and engineering, and care about the details people use every day.
A little more about meAt Music Stats, the task comes before the dataset. Give people a useful starting point.
See it in Music StatsIn AI workflows, progress, uncertainty, and human review deserve as much care as the happy path.
See it in XootsReusable foundations should make teams faster while leaving room for each product’s personality.
See it in Evelan