Graham North

WORK HISTORY

EDUCATION

ABOUT GRAHAM NORTH

Senior independent consultant with over 30 years of IT and engineering experience, specialising in AI/ML platform engineering, cloud infrastructure, and DevOps across public and private sector organisations.Recent work spans national energy sector AI/ML platform delivery on Azure, generative AI integration for media production platforms on GCP, defence analytics and predictive maintenance on AWS, financial services MLOps and threat detection, and safety-critical edge AI for automotive embedded systems.AI/ML: Full model lifecycle across training pipeline design, QLoRA and full fine-tuning of large language models, model quantization (INT4/INT8, ONNX Runtime, TensorRT), retrieval-augmented generation (RAG), vector search, and generative AI pipeline design using Vertex AI, SageMaker, and Azure AI Foundry. Production MLOps including automated retraining, drift detection, bias/fairness analysis (SHAP, LIME, Fairlearn), and explainability for regulated environments.Cloud & Infrastructure: Terraform, Bicep, Ansible; Kubernetes, Docker, GKE, AKS, EKS; CI/CD across Azure DevOps, Cloud Build, Jenkins, GitLab CI. Proficient across Azure, GCP, and AWS. Architecture documentation to HLD, LLD, and ADR standard.Data: Feature store design (Feast, Delta Lake), ETL/ELT pipelines (Airflow, Dataflow, Glue), data lineage and governance (OpenLineage), and big data platforms (BigQuery, Databricks, Snowflake, Redshift).Embedded: Real-time systems and Linux kernel development in C/C++; ARM Cortex, Qualcomm, Broadcom, AVR, and PIC platforms; bootloaders, device drivers, networking stacks, and safety-critical edge inference (TensorFlow Lite Micro, TVM, ONNX Runtime).Consistent track record of unblocking stalled deliveries, resolving complex infrastructure and pipeline failures, and producing clear technical architecture for both engineering teams and senior stakeholders.Open to contract engagements in AI/ML platform engineering, cloud infrastructure, and embedded systems.