Professional Overview
With a strong foundation in MLOps and DevOps, I bring expertise in Google Cloud Platform (GCP), Kubernetes, and SQL databases to streamline and optimize ML workflows. My experience in automation, CI/CD, and scalable infrastructure ensures efficient model deployment and monitoring. I have a proven track record of collaborating with Data Science and Analytics teams to bridge the gap between development and operations, enabling seamless ML integration into production. My ability to design robust, reproducible, and secure pipelines enhances operational efficiency. Beyond technical skills, I am passionate about innovation, process improvement, and driving best practices in MLOps. My problem-solving mindset, coupled with strong documentation and communication abilities, ensures transparency and alignment across teams. Employers should consider me for my ability to enhance ML operations, improve system reliability, and accelerate AI-driven business outcomes. I am eager to contribute my expertise and make a meaningful impact.
Areas of Expertise
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
