Professional Overview
AI/ML Engineer with production AI experience delivering enterprise-scale impact - including 6400+ annual man-hours saved at P&G through a deployed LLM fine-tuning system, & 90% manual effort eliminated via a production RAG pipeline. Specialized in end-to-end GenAI infrastructure: RAG, multi-agent architectures, LLM fine-tuning, & MLOps.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.