Senior AI/MLOps Engineer with 5+ years of technical experience in managing the full ML lifecycle across proof-of-concept to scale in production. Documented experience in developing, deploying, and fine-tuning Large Language Models (LLMs), Deep Learning, and predictive models in mission-critical infrastructure, e.g., at Sanctuary AI. Technical proficiency in scalable Full-Stack architecture and in MLOps practices like automation by Terraform, containerization by Docker/Kubernetes, and building resilient CI/CD pipelines (e.g., GitHub Actions). Expert in Python/SQL and in explaining the value of the RAG framework in driving process automation and quantitative business outcomes, with a focus on key performance indicators.