I work on Klaviyo’s analytics and data infrastructure, building systems that power large-scale product analytics.

Earlier in this role, I helped lay the foundation for Klaviyo’s V3 APIs — the next generation of our external developer APIs. Our team piloted the new design and built the core abstractions that now underpin APIs adopted across engineering (20+ teams) at Klaviyo.

I later worked on the re-architecture of our segmentation engine, designing core ingestion components and implementing several parts of the distributed execution pipeline. The system processes billions of realtime customer updates using technologies like Kafka and ClickHouse. This redesign significantly improved performance, unlocked several new features, and substantially reduced infrastructure cost.

On the Data Warehousing team, beside maintaining and evolving our low latency analytics services (gRPC + Clickhouse) used by several feature teams, I helped build foundations for Klaviyo’s lakehouse-style data platform on S3. This included developing ingestion pipelines capable of operating at petabyte scale using Spark, Iceberg, and S3 Express, as well as designing declarative specifications for schemas, data contracts, and governance exposed through internal platform APIs.

More recently, my work has focused on the query layer of this platform — building flexible analytics APIs using gRPC on top of StarRocks to power product-facing analytics features directly from the lakehouse.

Alongside this work, I regularly review technical RFCs across the team and broader area, contribute to architectural discussions and roadmap planning for the team, and mentor engineers on system design and implementation.

Separately, I founded Klaviyo’s Open Source Sponsorship Committee, which continues to support multiple open source projects each year.

I worked on backend systems supporting Klaviyo’s core product infrastructure, focusing on reliability, performance, and reusable service patterns.

During this time I built a generic framework for catalog change side-effects that enabled automated workflows such as price-drop and back-in-stock notifications. I also improved system availability by partitioning the catalog service to isolate long-running operations from latency-sensitive requests.

Alongside product work, I contributed to developer productivity by modernizing parts of the CI pipeline and significantly reducing build times. I also designed and mentored an intern project from initial scoping through successful delivery.

Helped students by answering questions. Led discussions and graded student work:

CMPSCI 377 (Operating Systems)

CMPSCI 187 (Data Structures)

Led discussion sections and helped students with programming assignments:

CMPSCI 230 (Computer System Principles)

Worked on a tool helping companies to automate identifying relevant information to avail GST credit on airline invoices.

Used third party RPA software systems to automate routine tasks in companies primarily for cost cutting.

Worked closely with the software team focussing on performance improvements and further development of current available tools