About me
Amazon SDE Intern
Built distributed vendor-syncing data pipelines using AWS CDK (IaC), processing 3B+ ad entities daily across Google and Bing.
Carnegie Mellon University
Master of Information Systems. Specializing in AI, Cloud Computing, and Distributed Systems.
Graduate student at Carnegie Mellon University and Software Development Engineer Intern at Amazon.
I build solutions with large-scale positive impact. I developed the Quest Diagnostics CFP system, now used by 1 in 3 Americans, and created Mockboard, a platform bridging the educational gap between rural and urban India, now powered by Educato, backed by Y Combinator.
Previously, I led backend development at Binamite, designing scalable APIs and implementing CI/CD pipelines. I also focus on AI-powered systems, such as generative design platforms and intelligent marketplace integrations, leveraging custom LLMs and cloud-native architectures to deliver meaningful solutions.
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What i'm doing
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Backend Development
Designing and implementing distributed and scalable systems, including RESTful APIs, microservices, and event-driven pipelines, to power large-scale applications
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AI and Data-Driven Solutions
Designing innovative AI-powered applications and data-driven solutions to solve complex problems and enhance user experiences.
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Cloud Computing
Leveraging AWS and cloud-native architectures to deploy secure, resilient, and scalable applications.
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Database Management
Designing and managing relational and NoSQL databases with a focus on performance, scalability, and data integrity.