HomeZen (Founder)
Founded and built a cloud-native property intelligence platform using AI, MLOps automation, and RAG pipelines. Led product vision, funding, and AWS infrastructure design for multi-tenant scalability.
AWSServerlessLangGraph+4
Russell Wilson
Platform Engineer — Permanent & Contract Roles — Remote / London
Achieved average NPS of 9 and CSAT of 5 for support & ops work
Platform and Reliability Engineer working across the AWS stack. I build secure, scalable, observable cloud systems and infrastructure that helps teams move faster. Focus on performance, cost, and reliability.
- DevOps & Continuous Improvement
- Observability and Site Reliability
- Platform Security, Performance and Cost Optimisation
- Support Entrenchment and Establishment
Recent achievements:
Managed £20k MRR in cloud support retainersReduced support work by 80% through automationReduced L3 tickets by 70% year on yearContributed to winning £1m+ in contracts
AWS Certified Solutions ArchitectAWS Certified Cloud Practitioner
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HomeZen AI-Driven Property Intelligence
Building a cloud-native property intelligence platform using AI, MLOps automation, and retrieval-augmented data pipelines.
My Role
- • Led product vision, roadmap, and funding
- • Designed AWS infrastructure using IaC, serverless, and event-driven patterns
- • Built LangGraph-based AI pipelines for context-aware automation
- • Integrated graph, vector, and analytical data stores
- • Set up DevOps and security foundations with automated deployments and telemetry
Key Technologies
- • AWS (IaC, Serverless, EventBridge, Lambda, SQS, DynamoDB, Neptune)
- • MLOps, LangGraph, RAG architectures, Pinecone, Typesense
- • Python, TypeScript, Next.js, React
- • DevOps, Security Foundations, Telemetry, Monitoring
AWSMLOpsLangGraphIaCServerlessVector StoresRAGPythonNext.js
Britvic (Flavour Tap) Operations Overhaul
Operational overhaul for Britvic's IoT fleet monitoring. Reduced observability costs by 50% and improved incident response by 70%.
Client Context
Aqua Libra, a Britvic subsidiary, was using daily batch feeds for IoT fleet monitoring with high costs. Limited visibility and reactive incident management were impacting customer experience during the Flavour Tap project expansion.
My Approach
- • Migrated from QuickSight to New Relic + AWS IoT Core for real-time monitoring
- • Implemented Jira Service Desk with Rovo automation for first-line support
- • Created Confluence playbooks for standardized escalation paths
- • Defined operational KPIs and executive dashboards
- • Managed platform stability during Carlsberg acquisition transition
Key Outcomes
- • Cost reduction: Reduced observability costs by 50%
- • Response improvement: 70% faster incident resolution
- • Real-time visibility: Data flows from source to observability in seconds
- • Automated support: More sustainable operational model
- • Executive reporting: Real-time performance dashboards
AWS IoT CoreEventBridgeAWS X-RayNew RelicJira AutomationConfluenceLambdaCloudWatchTerraform
Other Projects
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Aqua Libra (Britvic Group)
Operations overhaul for Britvic's Aqua Libra IoT fleet. Migrated from costly daily data ingests to real-time observability using AWS IoT Core, EventBridge, and New Relic. Added Jira automation for first-line support and Confluence playbooks for escalation, reducing costs by 50%.
AWS IoT CoreEventBridgeNew Relic+4
OilBrokerage Commodity Trading Platform
Cloud operations and deployment work for a commodity trading platform on AWS ECS. Improved IaC, managed ECS containers, and built observability dashboards in New Relic for platform security and reliability.
AWS ECSTerraformECR+4
Pirate Studios IoT Monitoring
Observability and automation for an IoT-based music studio platform. Built a serverless monitoring pipeline with Lambda and SNS/SQS messaging for event-driven health checks, reducing incident detection time and improving reliability.
AWS LambdaSNSSQS+4
KOKO Fleet Management IoT
Worked with an IoT provider managing connected vehicle fleets. Deployed AWS security baselines, optimised data ingestion pipelines, and configured GuardDuty, Security Hub, and WAF. Added New Relic observability for real-time telemetry.
AWS IoTGuardDutySecurity Hub+4
Lepidico
Modernised Lepidico's corporate website with Next.js on AWS Lightsail. Integrated Fastify API and RDS database, improving content delivery and maintainability.
Next.jsFastifyAWS Lightsail+3
Electron Green
Built a scalable, serverless marketing and analytics platform using AWS SAM and ECS. Designed CI/CD pipelines and infrastructure automation for multi-environment deployments with cost efficiency and uptime guarantees.
AWS SAMECSDocker+3
Games Workshop
Worked on multiple web and campaign projects for Games Workshop, improving CI/CD pipelines, performance monitoring, and cross-platform infrastructure. Focused on AWS cost optimisation and high-availability delivery for international traffic.
AWSCloudFrontS3+3
Graduate Data Portal (JISC)
Built a serverless data portal prototype for national education analytics. Created ETL and ML pipelines with Python and Alteryx, deployed on AWS Lambda and Amplify for real-time data access and visualisation.
AWS LambdaAmplifyPython+3
Career
Building a cloud native property intelligence platform with AI driven automation.
- Designed and delivered a greenfield MVP covering backend services, frontend application, infrastructure, and observability, taking the platform from architecture to working product
- Built production services in Python and TypeScript supporting asynchronous workloads, data ingestion, and retrieval pipelines
- Implemented retrieval augmented AI pipelines using vector, graph, and relational data stores to unify property data and insights
- Designed and managed AWS infrastructure using infrastructure as code, enabling repeatable environments and low friction iteration
- Established monitoring, alerting, and security controls from the outset, reducing operational risk during rapid development
- Led product discovery and roadmap definition, balancing delivery speed with long-term scalability
- Secured AWS credits to support MVP development and early stage experimentation
- Selected for AI Forge from over 500 applicants as part of the top 20 candidates, later declining due to equity terms
Delivered platform reliability, observability, and operational improvements for enterprise and IoT workloads.
- Owned availability, performance, and cost across multiple production systems supporting client product revenues exceeding £3m
- Personally managed cloud support retainers totalling approximately £20k MRR while maintaining high service quality
- Designed automated operational pipelines that reduced routine support work by around eighty percent
- Implemented observability and alerting using New Relic and Grafana, improving incident detection and reducing escalation frequency
- Reduced level three support ticket volume by approximately seventy percent year on year through better observability, documentation, and SOPs
- Led AWS Well Architected Framework reviews, securing AWS funding and identifying reliability, security, and cost improvements worth several thousand pounds
- Contributed to winning over £1m in operations and support contracts through improved platform reliability and delivery confidence
Led delivery of high traffic SaaS platforms and APIs across multiple cloud environments.
- Led architecture and technical delivery for projects exceeding £100k per phase from bid through to production and support
- Designed and operated containerised services on AWS supporting high concurrency and third party integrations
- Introduced infrastructure as code as a standard delivery approach, improving consistency, onboarding speed, and recovery
- Replatformed legacy EC2 based systems to stateless containerised deployments on Fargate, reducing deployment risk and operational overhead
- Defined observability and code quality standards that reduced post release issues across delivered projects
- Mentored junior engineers and improved internal documentation to scale delivery across teams
Delivered full stack software solutions for startups through to FTSE 100 clients.
- Delivered full stack applications supporting successful client engagements totalling over £400k in billed work
- Built backend and frontend services using Node.js, React, and Next.js across multiple industries
- Introduced CI pipelines that improved deployment reliability and reduced manual release effort
- Built Python automation tooling that reduced data extraction and analysis time during bids and delivery
- Worked across Agile, Scrum, and Waterfall projects, adapting delivery to client and organisational needs
Developed data pipelines and machine learning solutions supporting national education analytics.
- Built ETL pipelines using Python and Alteryx to process large scale education datasets
- Delivered a supervised text classification model for free text survey data that was deployed into production workflows
- Automated report generation, reducing manual reporting effort and turnaround time
- Built Tableau and Power BI dashboards used by senior stakeholders to inform decision making
- Prototyped serverless analytics services using AWS Lambda and SQS for near real-time data access
Skills
AWS OrganisationsControl TowerEC2ECSECRLambdaFargateTerraformTerraform CloudGitHub ActionsOIDCJavaScriptTypeScriptCloudFormationCDKSAMDockerContainersNew RelicCustom EventsVPC designCloudFrontS3Serverless FrameworkAutomated IaC pipelinesReactNext.jsIAM governanceLeast PrivilegeRoute 53CloudTrailIoT CoreGreengrassKubernetesNode.jsFastifyExpressSNSSQSEventBridgeKMSGrafanaPrometheusX-RayTrace VisibilityREST APIsMicroservicesEvent-drivenGuardDutySecurity HubShieldAWS WAFRCost OptimisationGovernanceConfigSecrets ManagerJira AutomationITSM workflowsCloudWatchSLOsTelemetryPythonVPC segmentationZero-TrustSonarQubePostgreSQLMySQLSQL ServerGlueQuickSightETL AutomationLangGraphRAG architecturesArchitecture DesignTechnical LeadershipBitbucket PipelinesTravis CITailwindCSSPostmanAPI DesignWAFInspectorJestPytestCI-integrated testsMongoDBDynamoDBRedisElastiCacheRDSAuroraAthenaQuery OptimisationData Schema DesignPerformance TuningAgileITILITSMDigitalOceanHerokuVercelAnsibleCloudflareOWASP ZAPTrivySemgrepCosignLintingMLOps pipelinestrain/deploy/monitorPandasNumPyNeo4jAmazon NeptunegraphPineconeTypesenseVector StoreAlteryxPyTorch