Design, own, and optimize scalable search and retrieval architecture. Implement vector, keyword, and hybrid search with ranking/reranking, embeddings, indexing, and metadata strategies. Build retrieval evaluation (golden datasets, human evaluation, automated metrics), diagnose data and ranking issues, and balance quality, latency, cost, and complexity.

Develop and refactor server-side C++ components for a high-scale, low-latency distributed adtech platform. Design, implement and test performant algorithms, work with Docker/Kubernetes, databases, Kafka and IDLs, and provide advanced support and ongoing improvements across design, deployment, and operations.