Professional Overview
Engineer with experience in developing end-to-end solutions that leverage data processing and predictive modeling. Proficient in MLOps, Large Language Models (LLMs), Infrastructure as Code (IaC), and well-versed in Continuous Integration/Continuous Deployment (CI/CD) practices, I am dedicated to delivering highly efficient and scalable machine learning systems.
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.
