
Hi, I’m Jagrat - Musician, Product designer & PM.
I want to help build the future of music.
Here’s why
Intersection of my lifelong passions.
I’ve been a hobbyist musician since the age of five, with intent to go professional until I turned eighteen. In parallel, I’ve been deeply fascinated by technology since my first Windows 95 computer. That intersection showed up naturally in my work at Parsons School of Design, where most of my projects gravitated toward music applications, culminating in a music-focused thesis.
Once in a multi-decade opportunity
Like everything else with AI, music will also go through a revolution in terms of production, remixing, consumption and participation (since many will be able to create music). Being in my 30s, taking advantage of this once in a decade opportunity is very important to me.
Unlocking sonic capability for those who’ve never made music before
Millions of people have taste but no musical training. Unlocking that creates a different culture.
Co-creating the instrument on which the next generation of hits might be composed (goosebumps)
Text to audio gen represents the next creative instrument, one that artists will explore, compose with, and push in unexpected directions. Shaping this instrument means influencing how future music is created.
AREAS I’m MOST INTERESTED IN
ONE
AI centric DAW
Being a music creator myself, generative music is the most exciting frontier for me. It’s an opportunity to reimagine what music making should be without the constraints of a traditional DAW and with the workflows that musicians are already familiar with.
TWO
An Individuality Engine
Every artist’s identity comes from years of decisions: what they choose to listen to, skip, imitate, or reject. How does one translate those micro-decisions (taste data) into a model that preserves individuality instead of standardising it?
THREE
Remixing, Inspiration & more
Zedd recently said that one of the fastest ways for a musician to get noticed is by reshaping a song everyone already knows. For non-musicians, that same familiarity is what makes creation fun in the first place. Giving people simple ways to remix a track, tweak its vibe, or adjust the lyrics makes AI music feel intuitive and playful, without having to start from scratch.
FOUR
Solving sonic vocabulary/education
People often know what they like sonically but don’t have a vocabulary for it - even musicians. A tool that teaches users how to describe sound, could massively expand creative ability and unlock better prompting.
About me
Over eight years in product design and two in product management, building zero to one products.
Strategic Mindset: PM + Design
As someone who can drive a product end to to end - from vision to protoype, distill a vision into a roadmap/feature set, design it, vibe code a prototype and get feedback quickly, founders have often relied on me running my own charter a PM+Designer.
High Ownership Environments
All of my roles, from Haptik to HackerRank, have been high-ownership ones where one takes responsibility end to end. That’s where I thrive the most too.
Music Making Experience (LogicPro)
I spent about a year making music full-time, teaching myself Logic Pro and songwriting, and ended up creating 17 songs and demos. I also play keys and acoustic guitar, so I understand a musician’s workflow and the frustrations that come with it.
Exactly 10 years ago
2015 - Shipped my first music app.
2025 - Hoping to help shape how the world makes and hears music.


I’d Love An Opportunity to Contribute

Hi, I’m Jagrat - Musician, Product designer & PM.
I want to help build the future of music.
Here’s why
Intersection of my lifelong passions.
I’ve been a hobbyist musician since the age of five, with intent to go professional until I turned eighteen. In parallel, I’ve been deeply fascinated by technology since my first Windows 95 computer. That intersection showed up naturally in my work at Parsons School of Design, where most of my projects gravitated toward music applications, culminating in a music-focused thesis.
Once in a multi-decade opportunity
Like everything else with AI, music will also go through a revolution in terms of production, remixing, consumption and participation (since many will be able to create music). Being in my 30s, taking advantage of this once in a decade opportunity is very important to me.
Unlocking sonic capability for those who’ve never made music before
Millions of people have taste but no musical training. Unlocking that creates a different culture.
Co-creating the instrument on which the next generation of hits might be composed (goosebumps)
Text to audio gen represents the next creative instrument, one that artists will explore, compose with, and push in unexpected directions. Shaping this instrument means influencing how future music is created.
AREAS I’m MOST INTERESTED IN
ONE
AI centric DAW
Being a music creator myself, generative music is the most exciting frontier for me. It’s an opportunity to reimagine what music making should be without the constraints of a traditional DAW and with the workflows that musicians are already familiar with.
TWO
An Individuality Engine
Every artist’s identity comes from years of decisions: what they choose to listen to, skip, imitate, or reject. How does one translate those micro-decisions (taste data) into a model that preserves individuality instead of standardising it?
THREE
Remixing, Inspiration & more
Zedd recently said that one of the fastest ways for a musician to get noticed is by reshaping a song everyone already knows. For non-musicians, that same familiarity is what makes creation fun in the first place. Giving people simple ways to remix a track, tweak its vibe, or adjust the lyrics makes AI music feel intuitive and playful, without having to start from scratch.
FOUR
Solving sonic vocabulary/education
People often know what they like sonically but don’t have a vocabulary for it - even musicians. A tool that teaches users how to describe sound, could massively expand creative ability and unlock better prompting.
About me
Over eight years in product design and two in product management, building zero to one products.
Strategic Mindset: PM + Design
As someone who can drive a product end to to end - from vision to protoype, distill a vision into a roadmap/feature set, design it, vibe code a prototype and get feedback quickly, founders have often relied on me running my own charter a PM+Designer.
High Ownership Environments
All of my roles, from Haptik to HackerRank, have been high-ownership ones where one takes responsibility end to end. That’s where I thrive the most too.
Music Making Experience (LogicPro)
I spent about a year making music full-time, teaching myself Logic Pro and songwriting, and ended up creating 17 songs and demos. I also play keys and acoustic guitar, so I understand a musician’s workflow and the frustrations that come with it.
Exactly 10 years ago
2015 - Shipped my first music app.
2025 - Hoping to help shape how musicians practice and make music.


I’d Love An Opportunity to Contribute

Hi, I’m Jagrat - Musician, Product designer & PM.
I Want To Help Build The Future Of Music.
Here’s why
Intersection of my lifelong passions.
Once in a multi-decade opportunity
Like everything else with AI, music will also go through a revolution in terms of production, remixing, consumption and participation (since many will be able to create music). Being in my 30s, taking advantage of this once in a decade opportunity is very important to me.
Unlocking sonic capability for those who’ve never made music before
Millions of people have taste but no musical training. Unlocking that creates a different culture.
Co-creating the instrument on which the next generation of hits might be composed (goosebumps)
Text to audio gen represents the next creative instrument, one that artists will explore, compose with, and push in unexpected directions. Shaping this instrument means influencing how future music is created.
AREAS I’m MOST INTERESTED IN
ONE
AI centric DAW
Being a music creator myself, generative music is the most exciting frontier for me. It’s an opportunity to reimagine what music making should be without the constraints of a traditional DAW and with the workflows that musicians are already familiar with.
TWO
An Individuality Engine
Every artist’s identity comes from years of decisions: what they choose to listen to, skip, imitate, or reject. How does one translate those micro-decisions (taste data) into a model that preserves individuality instead of standardising it?
THREE
Remixing, Inspiration & more
Zedd recently said that one of the fastest ways for a musician to get noticed is by reshaping a song everyone already knows. For non-musicians, that same familiarity is what makes creation fun in the first place. Giving people simple ways to remix a track, tweak its vibe, or adjust the lyrics makes AI music feel intuitive and playful, without having to start from scratch.
FOUR
Solving sonic vocabulary/education
People often know what they like sonically but don’t have a vocabulary for it - even musicians. A tool that teaches users how to describe sound, could massively expand creative ability and unlock better prompting.
About me
Over eight years in product design and two in product management, building zero to one products.
Strategic Mindset: PM + Design
As someone who can create a product from vision to design to vibe-coded prototype, founders have often relied on me running my own charter as a PM+Designer.
High Ownership Environments
All of my roles, from Haptik to HackerRank, have been high-ownership ones where one takes responsibility end to end. That’s where I thrive the most too.
Music Making Experience (LogicPro)
I spent about a year making music full-time, teaching myself Logic Pro and songwriting, and ended up creating 17 songs and demos. I also play keys and acoustic guitar, so I understand a musician’s workflow and the frustrations that come with it.
Exactly 10 years ago
2015 - Shipped my first music app.
2025 - Hoping to help shape how musicians practice and make music.


I’d Love An Opportunity to Contribute
Call me, (not) maybe