Design, optimize, and operationalize large language and multimodal models. Manage training, evaluation, and deployment pipelines ensuring reliability, transparency, and compliance in production AI environments.
Develop and integrate end-to-end AI applications on the backend and front end. Build scalable, high-performance systems that connect LLMs, RAG pipelines, and multi-modal data with robust architecture.
Design, implement, and maintain secure, scalable AI infrastructure. Oversee CI/CD, Kubernetes, and cloud operations to ensure reliable, efficient deployment of production-grade machine learning systems.
