Senior Machine Learning Engineer with over a decade of experience in MLOps, AI, and platform engineering, specializing in designing and deploying scalable, ML models, pipelines, and platforms. Proven ability to reduce deployment times and operational costs through the integration of technologies like Kubernetes, MLflow, and cloud platforms (AWS, GCP, Azure). Experienced in leading cross-functional teams and projects, including building Kubernetes-based data science platforms and fine-tuning open-source LLMs to enhance decision-making accuracy and processing speed. Additional expertise in DevOps and SRE roles, ensuring high availability and reliability of mission-critical systems, and in teaching data science and machine learning skills globally through platforms like DataCamp and KodeKloud. Holds a Bachelor of Science in Information Technology and multiple certifications in GitOps and Linux systems. Courses: https://app.datacamp.com/learn/courses/introduction-to-mlflow https://learn.kodekloud.com/courses/kubernetes-networking https://learn.kodekloud.com/courses/pytorch Blog: https://medium.com/@wbassler23