Cloud
AWS • Amazon EKS • Lambda • API Gateway • DynamoDB • EventBridge • ECR • IAM • CloudWatch
Profile
Engineering cloud platforms that are built to operate.
I focus on infrastructure that can be deployed, validated, observed and improved rather than architecture that exists only on diagrams.
I am a Cloud and Platform Engineer focused on AWS, Kubernetes, Infrastructure as Code, CI/CD, observability and developer platforms.
My projects go beyond infrastructure diagrams. I focus on deployment evidence, workload security, operational validation, least-privilege access, automation and repeatable engineering workflows.
I also build AI-assisted operational and product systems where automation removes repetitive work while important decisions remain observable and controlled.
01
Secure by default
Non-root workloads, least privilege, workload identity, explicit security controls and fail-closed behaviour.
02
Evidence over claims
Real deployments, automated validation, runtime testing, CI evidence and observable infrastructure.
03
Automate repeatable work
Infrastructure as Code, GitOps, CI/CD and platform workflows designed for repeatability and consistency.
Engineering Approach
From architecture to operational evidence.
01
Design
Architecture, boundaries and operating model
→
02
Provision
Terraform, CloudFormation and AWS SAM
→
03
Validate
Tests, linting, security and schema checks
→
04
Deploy
CI/CD, GitOps and immutable workloads
→
05
Operate
Logs, metrics, health and runtime evidence
Technology
Core engineering stack
Kubernetes
Kubernetes • Amazon EKS • Argo CD • Helm • Workload Security • EKS Pod Identity
Infrastructure
Terraform • CloudFormation • AWS SAM • Infrastructure as Code • Environment Design
Delivery
GitHub Actions • CI/CD • GitOps • Docker • Amazon ECR • Deployment Validation
Observability
Prometheus • Grafana • CloudWatch • Metrics • Alerting • Operational Visibility
Engineering
Python • FastAPI • TypeScript • React • Next.js • Bash • PostgreSQL
Selected Work
Flagship engineering projects
Projects selected for engineering depth, operational thinking, security controls and evidence of working systems.
01
AI Platform Operations
Flagship
CloudOps Command Center
AI-assisted platform operations for identifying infrastructure risks and guiding controlled remediation.
Brings operational signals from CI, Terraform, AWS, Kubernetes and monitoring workflows into a unified experience. Risks are explained, associated with service ownership and paired with recommended remediation while simulated changes remain behind human approval.
Next.js
TypeScript
Terraform Plan JSON
GitHub Actions
PostgreSQL
Clerk
Vercel
Engineering evidence
Multi-source risk ingestion
CI, Terraform and infrastructure signals
Decision trace
Explainable impact and remediation guidance
Ownership routing
Operational issues associated with responsible services
Approval gate
Remediation remains controlled by a human decision
02
Kubernetes Operations
Flagship
PlatformPilot
Kubernetes operations dashboard designed to make cluster health and troubleshooting easier to understand.
Provides visibility into pods, deployments, nodes and namespaces together with live logs, Kubernetes events, filtering, search, auto-refresh and AI-assisted operational analysis.
React
FastAPI
Python
Kubernetes
Kubernetes Python Client
Docker
Engineering evidence
Resource drill-down
Pods, nodes, deployments and namespaces
Operational context
Live logs, events, filtering and resource search
Frontend performance
Route-level code splitting for heavy dashboard features
AI-assisted analysis
Troubleshooting context and operational guidance
03
Amazon EKS Workload Engineering
Validated on AWS
Pharmacy API on Amazon EKS
Security-hardened FastAPI workload deployed and validated on a real Amazon EKS environment.
Demonstrates container hardening, immutable Amazon ECR delivery, Kubernetes workload security, EKS Pod Identity, least-privilege IAM, DynamoDB persistence, EventBridge integration and automated CI validation.
Amazon EKS
Kubernetes
FastAPI
Docker
Amazon ECR
DynamoDB
EventBridge
Pod Identity
GitHub Actions
AWS validation evidence
2 / 2 replicas available
EKS workload successfully scheduled and healthy
STS authentication OK
Pod Identity without static AWS credentials
HTTP 200
Live application health validation
DynamoDB persistence
End-to-end application write validated
Platform Portfolio
Infrastructure, delivery and developer platforms
Supporting projects demonstrating the systems that provision, secure, deliver and operate cloud-native workloads.
Infrastructure as Code
Terraform AWS EKS Platform
Production-minded Amazon EKS infrastructure using reusable Terraform modules, secure remote state, hardened cluster defaults and automated infrastructure validation.
- Reusable network and EKS modules
- Secure S3 remote state and state locking
- Private API and control-plane logging
- Automated Terraform CI validation
Terraform
AWS
EKS
IAM
GitHub Actions
View Project →
GitOps
GitOps with Argo CD
Declarative application delivery with Argo CD, constrained project boundaries and automated schema validation for both Kubernetes workloads and Argo CD custom resources.
- Argo CD Application reconciliation
- Constrained AppProject boundaries
- Kubernetes manifest validation
- Argo CD CRD schema validation
Argo CD
GitOps
Kubernetes
GitHub Actions
View Project →
Internal Developer Platform
Backstage Developer Portal
Internal Developer Platform built around Backstage for service discoverability, standardised golden paths, self-service scaffolding and platform workflows.
- Software catalog and ownership visibility
- FastAPI golden-path service template
- Generated Kubernetes and CI/CD configuration
- Developer self-service workflows
Backstage
Kubernetes
TypeScript
GitHub
View Project →
Serverless Architecture
Cloud-Native Pharmacy Platform
Multi-tenant AWS serverless platform with Cognito JWT protection, tenant-aware DynamoDB access, asynchronous messaging and event-driven workflows.
- Cognito protected API routes
- Tenant-scoped persistence and audit operations
- SQS and EventBridge event processing
- Explicit CORS allowlisting and automated tests
Lambda
API Gateway
DynamoDB
Cognito
SQS
EventBridge
View Project →
Observability
Platform Observability Stack
Monitoring environment focused on metrics, dashboards, alerting and infrastructure visibility across cloud-native workloads.
Prometheus
Grafana
CloudWatch
Docker
View Project →
CI/CD
Cloud-Native CI/CD Pipeline
Automated container build and delivery workflows using GitHub Actions, Docker, Amazon ECR and AWS IAM.
GitHub Actions
Docker
Amazon ECR
AWS IAM
View Project →
Product Engineering
SaaS and automation systems
Supporting product work that demonstrates multi-tenant application architecture, AI workflows and serverless automation.
OpsPilot
Multi-workspace AI operations SaaS designed to identify operational and revenue risks and turn them into owner-approved actions.
Tenant isolation regression tests
Fail-closed production authentication
Dependency security gate
Next.js
TypeScript
PostgreSQL
Clerk
Stripe
View Project →
AI Content Automation Platform
Serverless AWS platform for multi-account social content planning, queueing, scheduling and publishing workflows.
Lambda
DynamoDB
EventBridge
AWS SAM
View Project →
Other Builds
Product experiments and applied AI
Selected product work outside the primary Cloud and Platform Engineering portfolio.
AI Product
Tactiq AI
Applied AI product work exploring practical automation, workflow assistance and user-focused AI experiences.
AI
Automation
Product Engineering
Product Build
HavenConsent
Product-focused engineering work centred on clear digital workflows, consent-aware interactions and usable web experiences.
Web
Product
Workflow Design
These projects are intentionally presented as supporting work rather than primary Cloud and Platform Engineering case studies.
Credentials
AWS Certifications
Certified Developer – Associate
Application development, deployment and cloud-native engineering on AWS.
Solutions Architect – Associate
Secure, resilient and scalable AWS architectures.
AI Practitioner
AI, machine learning and generative AI concepts on AWS.
Cloud Practitioner
AWS cloud concepts, services, security and economics.
Contact
Building cloud platforms that teams can trust.
I am interested in Cloud Engineering, Platform Engineering, DevOps and Site Reliability Engineering opportunities where I can work on cloud infrastructure, Kubernetes, developer platforms, automation and reliable delivery systems.