Lead Engineer for a cross-platform insights product spanning all customer marketing channels.

Scoped the project from inception, aligning stakeholders on beta scope, data dependencies, and technical risks; led the adoption of Snowflake for the persistence layer.

Built the core dbt attribution models that convert raw event data into high-signal, actionable insights, establishing patterns that the team later extended to support multi-touch attribution, impressions, and referrers.

Drove performance and scalability by uncovering critical issues through exploratory testing, introducing repeatable load tests, and ensuring fast, reliable query performance.

Further positioned the company as a platform for greater marketing efficiency.

Created and launched an offline attributions product that connects our

Enabled customers to safely optimize campaigns based on previously off-limit

Positioned the company as both a healthcare privacy platform and a driver of measurable marketing efficiency.

Created and launched a web crawler that continuously scans our customers’

Built a management console to track, triage, and resolve each flagged web tracker.

Significantly increased our product-market fit and became the foundation for the

Worked with a team of engineers to build an in-app messaging center for company execs to communicate with their stakeholders. Wrote the code from scratch and shipped to customers well within one quarter.

Reduced tech debt by deprecating and removing the longest-running feature flag in Carta's dev history, while also saving the company ~200K per year in subscription integration fees.

Improvements to production data quality and integrity integral to Carta's core business value.

Single-handedly implemented an in-house video integration prototype using low level API provided by mediasoup SFU library.

Improved devex and increased system observability by adding server side source maps.

Helped us reach industry standard security compliance by automating backups, encrypting production data at rest, protecting staging and development environments, etc.

Migrated our fulfillment monolith over to modular microservices, making our entire fulfillment system easier to scale, extend, and debug.

Rewrote the data modeling and business logic for our pricing engine to display line item receipts based on dynamic fee structures.

Implemented otherwise blocking tasks as async background jobs, using our Celery servers and Redis messaging broker.

Added Magic Link (password-less) authentication, which increased conversion rates and is now the default path to authenticate for all users.

Conducted a thorough data structures and algorithms analysis to return suggestions from memory in O(1) time.

Utilized asynchronous, batched Redis calls in order to provide non-blocking writes.

Implemented multi-tenancy by utilizing JSON web tokens, Redis namespacing, and MongoDB collections.