Professional Overview
I am a seasoned Machine Learning Engineer with extensive experience in designing, deploying, and optimizing machine learning models and infrastructure. My core competencies include Machine Learning, Deep Learning, PyTorch, Docker, Kubernetes, CI/CD, GitHub Actions, and Azure, allowing me to deliver robust, scalable, and automated ML solutions.With a strong focus on operational excellence, I am adept at using Docker and Kubernetes to containerize and orchestrate ML workflows, ensuring high availability and efficient deployment in cloud environments like Azure. My hands-on experience with CI/CD pipelines and GitHub Actions helps streamline the development and release process, enabling continuous delivery of cutting-edge ML models.I am passionate about building innovative solutions in collaborative remote environments and am actively seeking a remote ML Engineer role where I can leverage my technical expertise to drive impactful results in a forward-thinking organization.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.