Professional Overview
Senior SDET and quality engineering leader with 12+ years of experience building test automation infrastructure, now applying that same rigor to ML and AI systems validation. Deep hands-on experience designing controlled experiments, building evaluation tooling, and validating model behavior for reinforcement learning and LLM systems.
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.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
