Professional Overview
Senior backend and platform engineer with 14 years building secure, AI-native B2B SaaS. At MaterialsZone I shipped production AI agent infrastructure (sandboxed tool execution, tenant-isolated agent runs, RAG and eval harnesses), led SOC2 Type 1 and Type 2 end-to-end, and cut cloud spend ~30%. Stack: Python, TypeScript/Node.js, PostgreSQL, Kafka, Kubernetes, Terraform, AWS/GCP. Looking for remote full-time roles on backend, platform or applied-AI teams.
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.
