I build the rate limiting and throttling layer at LinkedIn, the part that keeps APIs, stateful services and AI workloads standing when traffic spikes.

I've taught engineers at Airtribe since 2022, and I teach the way I review code at work: show me your design, and I'll show you where it breaks at scale.

At MongoDB I get called in when a system has outgrown its architecture and has to be redesigned while the business keeps running.

After 11 years across this many stacks, I can tell you why a database was chosen, where it will hurt you later, and what I would pick for the problem in front of you.

I've spent 8+ years building systems at Microsoft, Oracle and Qualcomm, from chipset firmware to enterprise software.

I like making slow things fast. At Qualcomm I rebuilt how clocks were tested so the team validated builds 3x quicker, and finding that one bottleneck is the instinct I try to hand over.

I led engineering at Unacademy and RentoMojo before co-founding Airtribe, after starting out as an engineer at HackerRank.

I've scaled infrastructure 20x while the business grew under it and run systems holding 50K+ concurrent users, so I teach the decisions you only face when the traffic is real.

I build enterprise applications at Microsoft, and I work on the parts that quietly decide whether a system holds: data modelling, LLD and HLD.

I cut data error rates by 90% and transform failures by 77% at Microsoft, and I've taught backend and system design to thousands of engineers sitting the same interviews you will.

I'm a backend engineer at Uber working on distributed systems, and I built at Google, Amazon and Directi before this.

I still set problems for coding contests, so I know what makes a question hard, and how to get you seeing the pattern underneath it.

I'm an engineer at Uber, and I've shipped at Zepto, ShareChat and Scaler along the way.

I've taught DSA live at Airtribe since 2023, and I still compete on Codeforces, so the patterns I teach are the ones I use under a timer.

I build AI developer tools at Atlassian, from RAG pipelines to the eval frameworks that decide whether a feature ships.

On our code assistant I took retrieval from 5 seconds to under 1 and lifted code acceptance by 150%, and I'll show you how AI systems like that get measured before they ship.

I build the rate limiting and throttling layer at LinkedIn, the part that keeps APIs, stateful services and AI workloads standing when traffic spikes.

I've taught engineers at Airtribe since 2022, and I teach the way I review code at work: show me your design, and I'll show you where it breaks at scale.

At MongoDB I get called in when a system has outgrown its architecture and has to be redesigned while the business keeps running.

After 11 years across this many stacks, I can tell you why a database was chosen, where it will hurt you later, and what I would pick for the problem in front of you.

I've spent 8+ years building systems at Microsoft, Oracle and Qualcomm, from chipset firmware to enterprise software.

I like making slow things fast. At Qualcomm I rebuilt how clocks were tested so the team validated builds 3x quicker, and finding that one bottleneck is the instinct I try to hand over.

I led engineering at Unacademy and RentoMojo before co-founding Airtribe, after starting out as an engineer at HackerRank.

I've scaled infrastructure 20x while the business grew under it and run systems holding 50K+ concurrent users, so I teach the decisions you only face when the traffic is real.

I build enterprise applications at Microsoft, and I work on the parts that quietly decide whether a system holds: data modelling, LLD and HLD.

I cut data error rates by 90% and transform failures by 77% at Microsoft, and I've taught backend and system design to thousands of engineers sitting the same interviews you will.

I'm a backend engineer at Uber working on distributed systems, and I built at Google, Amazon and Directi before this.

I still set problems for coding contests, so I know what makes a question hard, and how to get you seeing the pattern underneath it.

I'm an engineer at Uber, and I've shipped at Zepto, ShareChat and Scaler along the way.

I've taught DSA live at Airtribe since 2023, and I still compete on Codeforces, so the patterns I teach are the ones I use under a timer.

I build AI developer tools at Atlassian, from RAG pipelines to the eval frameworks that decide whether a feature ships.

On our code assistant I took retrieval from 5 seconds to under 1 and lifted code acceptance by 150%, and I'll show you how AI systems like that get measured before they ship.

I build the rate limiting and throttling layer at LinkedIn, the part that keeps APIs, stateful services and AI workloads standing when traffic spikes.

I've taught engineers at Airtribe since 2022, and I teach the way I review code at work: show me your design, and I'll show you where it breaks at scale.

At MongoDB I get called in when a system has outgrown its architecture and has to be redesigned while the business keeps running.

After 11 years across this many stacks, I can tell you why a database was chosen, where it will hurt you later, and what I would pick for the problem in front of you.

I've spent 8+ years building systems at Microsoft, Oracle and Qualcomm, from chipset firmware to enterprise software.

I like making slow things fast. At Qualcomm I rebuilt how clocks were tested so the team validated builds 3x quicker, and finding that one bottleneck is the instinct I try to hand over.

I led engineering at Unacademy and RentoMojo before co-founding Airtribe, after starting out as an engineer at HackerRank.

I've scaled infrastructure 20x while the business grew under it and run systems holding 50K+ concurrent users, so I teach the decisions you only face when the traffic is real.

I build enterprise applications at Microsoft, and I work on the parts that quietly decide whether a system holds: data modelling, LLD and HLD.

I cut data error rates by 90% and transform failures by 77% at Microsoft, and I've taught backend and system design to thousands of engineers sitting the same interviews you will.

I'm a backend engineer at Uber working on distributed systems, and I built at Google, Amazon and Directi before this.

I still set problems for coding contests, so I know what makes a question hard, and how to get you seeing the pattern underneath it.

I'm an engineer at Uber, and I've shipped at Zepto, ShareChat and Scaler along the way.

I've taught DSA live at Airtribe since 2023, and I still compete on Codeforces, so the patterns I teach are the ones I use under a timer.

I build AI developer tools at Atlassian, from RAG pipelines to the eval frameworks that decide whether a feature ships.

On our code assistant I took retrieval from 5 seconds to under 1 and lifted code acceptance by 150%, and I'll show you how AI systems like that get measured before they ship.