Staff Software Engineer - Full Stack at Amplitude

Directed the system architecture of Amplitude’s real-time analytics and experimentation platform, scaling the event pipeline and computation engine to billions of daily events with sub-second latency. Architected real-time ingestion using Kafka and Flink, enabling real-time segmentation, retention analysis, and journey exploration at enterprise scale. Led the design of a multi-tenant analytics computation engine, optimizing storage with Parquet/columnar formats and vectorized execution for faster queries. Partnered with data science teams to embed ML predictions (e.g., churn, conversion likelihood) into the analytics pipeline, and supported A/B testing in Amplitude Experiment. Drove a data governance and schema validation program to ensure high-quality event tracking across SDKs, and steered a transition toward domain-driven design and service decomposition. Built interactive dashboards with React and TypeScript, implementing accessible UI components with Chakra UI and Tailwind CSS.

Senior Software Engineer at Airtable

Led the architecture for Airtable’s real-time collaboration engine and relational data backend, enabling millions of concurrent users to co-edit data with sub-second synchronization. Directed a multi-year migration from a monolith to event-driven microservices, delivering fault isolation and faster deployments. Collaborated with database engineers to redesign indexing, partitioning, and caching for large workspaces; established API design standards and governed Airtable’s public API for 1000+ partner integrations. Implemented enterprise security with RBAC and audit logging, and championed observability with metrics and distributed tracing, improving MTTR by 25%. Mentored cross-functional teams on distributed systems, data consistency, and scaling. Built dynamic front-end interfaces using React and TypeScript, with performance optimizations in Vue.js.

Staff Software Engineer at Amplitude

Directed the system architecture of Amplitude's real-time analytics and experimentation platform, scaling the event pipeline and computation engine to handle trillions of events and power enterprise-scale customer insights. Architected the real-time event ingestion pipeline with strict ordering and deduplication, delivering sub-second latency. Defined data processing using Kafka and Flink to enable real-time segmentation and journey analysis. Led the multi-tenant analytics computation engine, optimized storage with Parquet formats and vectorized execution for faster queries. Collaborated with data science teams to embed ML predictions into the analytics pipeline and served as architecture owner for Amplitude Experiment to support rigorous A/B testing. Drove integration with Snowflake, BigQuery, and Redshift to enable hybrid analytics. Established data governance and schema validation across SDKs, and guided a transition toward domain-driven design and service decomposition. Built inter

Senior Software Engineer at Airtable

Led the design of Airtable's real-time collaboration engine and relational data backend, enabling millions of co-editors with sub-second synchronization. Directed a multi-year re-architecture from monolith to event-driven microservices, delivering fault isolation and faster deploys. Partnered with database engineers to redesign indexing, partitioning, and caching to support large workspaces. Established API design standards and governed the public API, enabling 1000+ partner integrations. Drove enterprise security architecture (RBAC, audit logging) and championed observability (metrics, distributed tracing, SLO-driven alerting). Mentored cross-functional teams and aligned system design with upmarket goals. Built dynamic, real-time frontend interfaces using React/TypeScript and improved frontend performance with Vue.js.

Staff Software Engineer at Amplitude

Directed the system architecture of Amplitude's real-time analytics and experimentation platform, scaling the event pipeline and computation engine to handle trillions of events and power customer insights at enterprise scale. Architected the real-time event ingestion pipeline handling billions of daily events with strict ordering, deduplication, and sub-second latency guarantees. Defined data processing architecture using Kafka and Flink for real-time segmentation, retention analysis, and journey exploration at scale. Led the design of Amplitude's multi-tenant analytics computation engine, optimizing storage with Parquet/columnar formats and vectorized execution for faster queries. Partnered with data science teams to embed ML predictions (churn, conversion likelihood) into the analytics pipeline. Served as architecture owner for Amplitude Experiment, unifying analytics and feature flags for statistically rigorous A/B testing. Guided integration with Snowflake, BigQuery, Redshift, ena

Senior Software Engineer at Airtable

Led the next-generation real-time collaboration engine and relational data backend, enabling millions of concurrent users to co-edit data with sub-second synchronization guarantees. Directed a multi-year re-architecture from monolith to event-driven microservices for fault isolation and faster deploys. Partnered with database engineers to redesign indexing, partitioning, and caching for extremely large workspaces without performance degradation. Established API design standards and governed Airtable's public API, unlocking an ecosystem of 1000+ partner integrations. Drove enterprise security architecture with fine-grained permissions, RBAC, and audit logging. Championed observability with standardized metrics, distributed tracing, and SLO-driven alerting, improving MTTR by 25%. Mentored cross-functional teams on distributed systems and data consistency tradeoffs. Aligned system design with a move upmarket into enterprise collaboration software. Built dynamic, real-time frontend interfa

Staff Software Engineer - Full Stack at Amplitude

Directed the system architecture of Amplitude's real-time analytics and experimentation platform, scaling the event pipeline and computation engine to handle trillions of events at enterprise scale. Defined data processing with Kafka and Flink for real-time segmentation. Led multi-tenant analytics engine and optimized storage with Parquet for faster queries. Partnered with data science teams to embed ML predictions into the analytics pipeline and led Amplitude Experiment architecture. Integrated with Snowflake, BigQuery, and Redshift to enable hybrid analytics. Established data governance and schema validation across SDKs. Drove domain-driven design transitions and advised leadership on trade-offs for growth and reliability. Built interactive dashboards with React/TypeScript and collaborated with design teams in Figma, delivering accessible UI with Chakra UI and Tailwind CSS.