2023
Landed Internship at Meta @ 17
Built scalable artist discovery system during MetaU internship - my entry into FAANG
Internship
FAANG
Know More
At 18, I joined Meta through the MetaU program, my first exposure to shipping backend systems at real production scale. It was fast, intense, and shaped the way I think about infrastructure today.
My Very First Internship!
At 18, I joined Meta through the MetaU program, my first exposure to shipping backend systems at real production scale. It was fast, intense, and shaped the way I think about infrastructure today.
Context
Into The Deep End
The MetaU program gave me barely a week to onboard before jumping into a project. The task was, as part of the codepath partnership, to design a capstone project and I chose to improve how artists were discovered and recommended across Spotify and Apple Music. For me, it was a chance to prove I could hold my own inside one of the biggest distributed systems in the world
Build
Optimized Recommendation Algorithm
I delivered a full-stack artist discovery pipeline with Node.js, Redis, and Postgres, combining backend services with a React front-end wrapper. To make it efficient, I built scheduled jobs to surface trending artists and tuned Postgres joins + indexes, cutting latency by 1.5× and reducing backend compute load by 40%.
Takeaway
Foundations of Infra
Used Hack language for the first time. Meta taught me that speed and scale aren’t the same thing—you need both. Contributing to something that worked and ran lean at scale gave me my first real taste of distributed systems engineering, and it became the foundation for the kind of infrastructure work I’m most passionate about now. Also, met Zuck :)
More Works
(GQ® — 02)
©2024
2023
Landed Internship at Meta @ 17
Built scalable artist discovery system during MetaU internship - my entry into FAANG
Internship
FAANG
Know More
At 18, I joined Meta through the MetaU program, my first exposure to shipping backend systems at real production scale. It was fast, intense, and shaped the way I think about infrastructure today.
My Very First Internship!
At 18, I joined Meta through the MetaU program, my first exposure to shipping backend systems at real production scale. It was fast, intense, and shaped the way I think about infrastructure today.
Context
Into The Deep End
The MetaU program gave me barely a week to onboard before jumping into a project. The task was, as part of the codepath partnership, to design a capstone project and I chose to improve how artists were discovered and recommended across Spotify and Apple Music. For me, it was a chance to prove I could hold my own inside one of the biggest distributed systems in the world
Build
Optimized Recommendation Algorithm
I delivered a full-stack artist discovery pipeline with Node.js, Redis, and Postgres, combining backend services with a React front-end wrapper. To make it efficient, I built scheduled jobs to surface trending artists and tuned Postgres joins + indexes, cutting latency by 1.5× and reducing backend compute load by 40%.
Takeaway
Foundations of Infra
Used Hack language for the first time. Meta taught me that speed and scale aren’t the same thing—you need both. Contributing to something that worked and ran lean at scale gave me my first real taste of distributed systems engineering, and it became the foundation for the kind of infrastructure work I’m most passionate about now. Also, met Zuck :)
More Works
(GQ® — 02)
©2024
2023
Landed Internship at Meta @ 17
Built scalable artist discovery system during MetaU internship - my entry into FAANG
Internship
FAANG
Know More
At 18, I joined Meta through the MetaU program, my first exposure to shipping backend systems at real production scale. It was fast, intense, and shaped the way I think about infrastructure today.
My Very First Internship!
At 18, I joined Meta through the MetaU program, my first exposure to shipping backend systems at real production scale. It was fast, intense, and shaped the way I think about infrastructure today.
Context
Into The Deep End
The MetaU program gave me barely a week to onboard before jumping into a project. The task was, as part of the codepath partnership, to design a capstone project and I chose to improve how artists were discovered and recommended across Spotify and Apple Music. For me, it was a chance to prove I could hold my own inside one of the biggest distributed systems in the world
Build
Optimized Recommendation Algorithm
I delivered a full-stack artist discovery pipeline with Node.js, Redis, and Postgres, combining backend services with a React front-end wrapper. To make it efficient, I built scheduled jobs to surface trending artists and tuned Postgres joins + indexes, cutting latency by 1.5× and reducing backend compute load by 40%.
Takeaway
Foundations of Infra
Used Hack language for the first time. Meta taught me that speed and scale aren’t the same thing—you need both. Contributing to something that worked and ran lean at scale gave me my first real taste of distributed systems engineering, and it became the foundation for the kind of infrastructure work I’m most passionate about now. Also, met Zuck :)
More Works
©2024