Also built

Ten production systems from the EVERYANGLE years, listed for completeness. Deliberately without figures of any kind: the code and its history are the company's and stayed there, so uptime, coverage, scale, and cost numbers I could quote here would be my recollection and nothing more. What each system did and what it was built with is on the record. The case studies are where the checkable claims are.

  • AWS Infrastructure Scheduler. Time-zone-aware orchestration that stopped and started cloud resources against business operating hours, with dependency-ordered shutdown and queue-aware safety. Python, AWS Auto Scaling Groups, ECS, SQS, Redis.
  • AWS Infrastructure Library. Internal Python library standardising AWS service interactions behind typed interfaces across a multi-tenant estate. Python, boto3, private PyPI, Kubernetes.
  • Intelligent Message Broker. Coordinated real-time processing of retail video data across multiple inference engines with exactly once semantics on Redis-backed state. Python, Redis, Kubernetes, AWS, GCP.
  • Synthetic Data Generator. Generated statistically representative foot-traffic data to hold dashboard continuity through sensor outages, preserving demographic and temporal distributions. Python, Redis, MySQL.
  • Footfall API. Bridged in-store camera analytics to external point-of-sale platforms as hourly metrics. Python, Flask, REST, Redis, MySQL.
  • Data Persistence Software. Event-driven persistence layer taking real-time streams from video analytics into relational storage, deployed multi-region. Python, MySQL, Kubernetes, AWS, GCP.
  • Kubernetes Infrastructure Platform. Cloud-native platform orchestrating infrastructure services and production applications with full observability and ML serving. Kubernetes, Helm, ELK, Prometheus, Grafana, NVIDIA Triton, MinIO.
  • Digital Preservation Software. Continuous archival of commercial camera streams to object storage for long-term retention requirements, with frame integrity monitoring and automated credential handling. Python, Selenium, Docker, AWS, GCP, MinIO.
  • Point of Sale API. Webhook microservice normalising vendor-specific retail transaction formats into a shared analytics schema across an international estate. Python, FastAPI, AWS, GCP, MySQL.
  • Multi-Tenant SaaS Cloud Infrastructure. The Terraform estate behind the platform: networking, data services, event pipelines and GPU-backed ML inference. Terraform, AWS, Docker.

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