Lead research, design, and production deployment of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle, improve model quality, enable MLOps, mentor engineers, and integrate CV features into production systems.

Lead design, research, and productionization of NLP and LLM capabilities (NER, classification, generation, semantic search, RAG/GraphRAG). Build experiments, prototypes, evaluation metrics, and integrate models into production workflows while collaborating with engineering, data, and product teams.