Incoming @ LinkedIn | CS Grad @ SJSU | Distributed Systems & Infrastructure
I’m a backend and infrastructure engineer currently pursuing a Master’s in Computer Science at San José State University. My work focuses on building scalable, performance-sensitive distributed systems operating in real-world production environments.
Cut API latency by 42% through query tuning and custom Django optimizations (P95 < 150ms).
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Led the migration of our real-time analytics infrastructure from Elasticsearch to Apache Pinot, cutting query latency by 97% (25s → 600ms).
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Engineered and deployed asynchronous processing pipelines to generate high-throughput email reports for over 200K products, resulting in increased customer engagement.
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Integrated Azure AD and Salesforce, contributing to $300K+ in annual enterprise revenue.
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Built a usage-based incentive engine with Stripe, reducing churn by 34%.
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Scaled bulk workflows by 12x through batched inserts and database tuning.
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Mentored 3 backend interns, conducted 70+ technical interviews, and improved onboarding documentation to streamline hiring.