About
I’m a Senior Software Engineer at Netflix.
To get a TV show or movie from initial ideation all the way to being live on the service, there’s a gargantuan amount of work involved. From securing contracts with talent, script writing, and getting the green light, to filming, post-production, localization, and marketing; there are dozens of domains involved that are large enough to have their own teams and organizations.
The one common thread connecting these distinct domains is the need to broadcast and react to new activity on the titles they are actively working on.
When a script is complete, we want to start localization as fast as possible. When footage has been shot and uploaded, we want to ensure creative workstations are ready for VFX artists. When the footage for a show has gone through post-production, we want to make sure that marketing is aware so that they can use the assets for marketing material.
This happens across multiple projects simultaneously, involving a massive flow of critical information required to streamline the creation of a show or movie.
What I do is provide the infrastructure that underpins this communication, whether that be from system to system, system to person, or person to person. I build the event bus that lets the rest of the business freely send and receive these signals at a scale of billions of events per day, allowing us to audit and react to how the business is evolving.
Experience
Senior Software Engineer
Lead the product vision and architectural strategy for my organization's activity logging and eventing ecosystems, fostering cross-functional alignment to unify core content and studio infrastructure into cohesive products that accelerate critical business workflows that underpin the launching of Netflix shows.
- Spearheaded a data-driven, domain-level initiative to architect a centralized activity logging platform from scratch, forging cross-functional partnerships with 6+ teams to define a unified auditing strategy for the organization.
- De-risked an imminent long-term infrastructure outage by engineering a novel Elasticsearch indexing strategy to ingest 3B+ documents daily, reducing the incident rate to 0%.
- Orchestrated a zero-downtime migration of eventing infrastructure supporting millions of events with a cost savings of $250k/year, forming joint partnerships with platform teams to ensure business continuity and scalability.
- Designed and built intuitive UI/UX for critical platform tooling, significantly increasing developer productivity and reducing incident risk by eliminating error-prone manual configurations.
- Bootstrapped and led the local organization's AI efforts with a focused working group, championing the integration of LLM agents into standard development workflows.
- Drove grassroots organizational change for the widespread adoption of AI tooling for engineering and operations by organizing organization-wide engineering presentations and workshops.
- Led the UI/UX design and engineering for activity logging experiences, streamlining critical audit workflows for business data and reducing operational and support burden.
- Mentored junior engineers and collaborated with talent coordinators to organize and host Q&A/engineering talks/workshops for early talent.
Full Stack Cloud Software Engineer
- Created REST APIs using Java Spring and JAX-RS with Google Cloud Datastore.
- Used time complexity analysis to improve Google Cloud Datastore entity retrieval in Java, leading to a 400% speedup in page load times, and 200% speedup in report generation.
- Designed efficient query splitting in Java for Google Cloud Datastore, enabling the ability for complex searches.
- Developed a method to store large amounts of data 300% more efficiently in GCD, saving $20k+ in storage costs.
- Created configurable forms using Ektron CMS, eliminating the need for developer intervention in creating points of contact, saving thousands of dollars and tens of hours on a regular basis.
- Lead the process on implementing Jenkins with automated unit testing in our CI/CD pipeline deploying to IBM cloud improving deployment confidence.
- Transformed cloud application infrastructure management from manual to Git source controlled Terraform scripts.
- Developed public facing websites with millions of monthly active users on Microsoft Azure using C# and ASP.NET.