fengineer

About me

Principal Machine Learning Engineer with 10+ years of software engineering experience and 5+ years building production AI systems. I help companies turn AI ideas into scalable, reliable products that deliver measurable business value.

My expertise spans the full ML lifecycle: data pipelines, model development, MLOps, deployment, optimisation, and monitoring. I specialise in Computer Vision, LLMs, RAG, agentic AI, real-time inference, and GPU-accelerated systems.

I have delivered production solutions for object detection, segmentation, counting, medical imaging, enterprise knowledge search, and summarisation. I also build high-performance inference pipelines with PyTorch, ONNX, and TensorRT, plus MLOps platforms using MLflow, Prefect, Docker, CI/CD, and cloud infrastructure.

I focus on maintainability, scalability, communication, and business impact. Whether you need a new AI product, model optimisation, an LLM application, or a production-ready ML platform, I bridge research and production.