Professional Overview
AI Engineer passionate about building production-grade GenAI systems, with hands-on experience in LLMs, RAG pipelines, semantic search, fine-tuning, and agentic workflows. Proven track record of transforming cutting-edge AI research into scalable products that improve accuracy, efficiency, and user experience across real-world applications.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
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.
