At AdRise, I develop and maintain scalable, high-performance systems within the ad video pipeline, focusing on automated metadata enrichment, brand detection, transcription, language detection, and ad compliance. I work extensively with Elixir, Kubernetes, Postgres, SQL, RabbitMQ, and LLM-based services to build fast, reliable, and automated solutions that support real-time ad processing at scale.

I contribute to designing and deploying LLM-powered brand detection, transcription, and language detection services, improving metadata accuracy and ad targeting capabilities. Additionally, I help enhance observability by streamlining dashboards, alerts, and logs to improve system monitoring and incident response.

My work also includes supporting the architecture of multi-tenant systems to ensure secure data isolation for multiple partners and collaborating closely with cross-functional teams to develop internal tools and support key business workflows.

Key contributions include:

As a Software Engineer on Tubi’s Ad Video Processing team, I design and maintain distributed systems that handle high-throughput ad video ingestion, transcoding, and compliance checks at scale. Our systems process over 60,000 requests per minute with high availability, powering the backbone of Tubi’s ad pipeline.

I work with Elixir, Kubernetes, and SQL to build reliable services that automatically transcode videos, extract metadata using machine learning models, and rate/block ad creatives based on safety and policy compliance. My role blends backend engineering with infrastructure and automation to ensure ad delivery is fast, scalable, and trustworthy.

Key contributions:

As a TechOps Engineer at Tubi, I focused on maintaining and improving our internal content management system (CMS), which supported both frontend and backend operations. My work centered on ensuring that videos from content partners moved efficiently through our ingestion pipeline and became accessible across the organization via the CMS UI.

I used JavaScript, TypeScript, and MongoDB to build and support tools that powered editorial workflows, automated content operations, and facilitated collaboration between engineering, content, and product teams.

Key contributions:

At Tubi, I worked on ensuring a high-quality viewing experience for millions of users by performing quality assurance on content across the platform. My responsibilities included validating metadata, subtitles, audio/video sync, and regional compliance for thousands of hours of streaming content. I collaborated closely with engineering, content operations, and product teams to identify and report bugs, streamline processes, and maintain platform consistency at scale.

Key achievements: