Designing systems that ingest, process, search, and serve complex data at scale.

I design backend services and API layers that power search, product workflows, media processing, and AI-driven applications. My work emphasizes clear contracts, scalability, and maintainability in production systems.

I build event-driven and asynchronous systems for long-running workflows, data pipelines, and high-throughput backend operations. I care deeply about failure handling, throughput, and operational reliability.

My experience includes large-scale search and indexing systems for structured and unstructured data. I have worked on document retrieval, content processing, relevance improvements, and high-volume indexing workflows.

I’ve worked on systems that expose machine learning outputs through user-facing applications and backend services, including embeddings, captions, temporal highlights, and multimodal inference workflows.

I build and deploy systems in cloud-native environments with a focus on scalability, automation, and operational resilience. My infrastructure work supports production workloads across enterprise and startup settings.

I treat reliability as a product feature. I use monitoring, tracing, alerting, and SLOs to improve incident response, reduce downtime, and make distributed systems easier to operate.

While my core strength is backend and systems work, I also build frontend interfaces that expose complex workflows and system outputs in usable ways, especially for search, analytics, and AI-driven features.