Professional Overview
I can help you automate and optimize your ML workflows, ensuring faster deployments and reduced downtime.With 5+ years of experience in backend engineering and MLOps, I specialize in efficient pipeline management, and integrating machine learning into production environments. My skills in Docker, Kubernetes, Python, and tools like MLFlow and DVC enable me to deliver robust and scalable solutions.
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.
