Platform Engineer, Cloud Infrastructure, AI Infrastructure Enthusiast

Building reliable cloud platforms today.Exploring AI infrastructure for tomorrow.

AWS is my primary cloud. My professional experience is in AWS infrastructure and distributed systems, Kubernetes, Terraform, and production platforms for regulated fintech, with working exposure to GCP and Azure. Alongside that work, I am actively expanding into high performance computing, GPU infrastructure, AI platforms, and AI safety engineering.

Portrait of Hammed Akinwale, Platform and Cloud Infrastructure Engineer
AWS first, with GCP and Azure exposure
Exploring AI infrastructure
Terraform, Pulumi, GitOps
HPC, GPU, ML platforms, learning
3+
Years in production infra
4
Regulated fintech platforms owned
AWS
Primary cloud, with GCP and Azure exposure
$M+
Daily transaction volume supported

What I do

Cloud platforms, engineered for the regulated edge.

☁️

AWS Cloud Infrastructure

Production grade infrastructure on AWS, my primary cloud, with Terraform and Pulumi as the source of truth, plus working exposure to GCP and Azure.

  • AWS as primary cloud
  • Terraform and Pulumi at scale
  • Kubernetes on EKS
  • AWS Global Accelerator
  • GCP and Azure exposure
🔐

Security, Identity and Compliance

Hardened IAM, secrets management, and cross cloud keyless authentication, cutting audit preparation effort across regulated platforms.

  • AWS IAM least privilege
  • Workload Identity Federation to GCP
  • Secrets management
  • Compliance hardening
🚀

CI/CD, GitOps and Observability

Automated, zero downtime deployments with GitHub Actions, GitLab CI, and ArgoCD, backed by Prometheus, Grafana, ELK, and Jaeger.

  • GitHub Actions, GitLab CI
  • ArgoCD GitOps
  • Prometheus, Grafana, ELK
  • Jaeger tracing

Skills

Where I ship, and where I’m growing.

A clear split between what I use in production today and what I am actively studying as I move toward AI infrastructure.

Production experience

Used daily in regulated fintech platforms

AWSEKSECSKubernetesDockerTerraformPulumiGCP exposureAzure exposureGitHub ActionsGitLab CIJenkinsArgoCDAnsibleLinuxKafkaZooKeeperRabbitMQRedisPrometheusGrafanaELK StackJaegerSnykTrivyWizGitHub Advanced SecurityIAMWorkload Identity Federation

Exploring

Currently studying, hands on learning

HPCGPU InfrastructureSlurmRayKubeRayNVIDIA GPU OperatorAI InfrastructureML Platform EngineeringAI SafetyCUDA ecosystemDistributed ML Systems

Learning Journey

Current learning focus

A roadmap of topics I am actively exploring as I move from cloud platforms into AI infrastructure. These are areas of study and experimentation, not professional experience.

  1. 01
    High Performance Computing fundamentalsCurrently Exploring
  2. 02
    GPU scheduling and orchestrationCurrently Exploring
  3. 03
    CUDA ecosystemCurrently Exploring
  4. 04
    Kubernetes for AI workloadsCurrently Exploring
  5. 05
    Distributed training infrastructureCurrently Exploring
  6. 06
    RayCurrently Exploring
  7. 07
    SlurmCurrently Exploring
  8. 08
    KubeRayCurrently Exploring
  9. 09
    NVIDIA GPU OperatorCurrently Exploring
  10. 10
    PyTorch distributed conceptsCurrently Exploring
  11. 11
    ML platform architectureCurrently Exploring
  12. 12
    AI safety engineeringCurrently Exploring
  13. 13
    Large scale compute systemsCurrently Exploring

Vision

Why AI infrastructure?

As AI systems become more capable and more widely deployed, the infrastructure beneath them matters more, not less. Reliable clusters, scalable compute platforms, secure deployment pipelines, and safety conscious engineering are becoming central to how useful AI reaches production.

My background is in cloud infrastructure for regulated systems, where uptime, security, and reproducibility are non negotiable. Those same disciplines translate directly to training clusters, inference platforms, and research infrastructure.

I’m excited to contribute to the infrastructure powering research and production AI systems, on the platform side, with a strong bias toward safety, observability, and operational rigor.

Reference Architecture

OLS Hub and Spoke on Azure.

A multi subscription Azure landing zone with a shared services hub VNet and dev, QA and prod spoke VNets. Azure Virtual Network Gateway and ExpressRoute interconnects the spokes, while centralised services (DNS, identity, monitoring, egress inspection) live in the hub for consistent governance and routing.

Hub VNet

Shared services, DNS, egress inspection, Entra ID tooling, monitoring. Central Virtual Network Gateway and ExpressRoute attachment.

Spoke VNets (dev, qa, prod)

Isolated per-environment workloads on AKS and VMSS, with route tables restricting east west traffic and mandatory inspection through the hub.

Connectivity and Governance

ExpressRoute and VPN for hybrid connectivity, Azure Firewall for egress inspection, and Terraform driven policy guardrails across subscriptions.

OLS Hub and Spoke Azure architecture diagram

Production Platforms

Cloud infrastructure, in production.

Platforms and network architectures I have designed and operate, from regulated fintech blockchains on AWS to cloud landing zones.

OLS Hub and Spoke, Azure Multi Environment Landing Zone

Designed a multi subscription Azure landing zone with a shared services hub VNet and dev, QA, prod spoke VNets interconnected via Azure Virtual Network Gateway and ExpressRoute, enforcing centralised inspection, DNS, and identity services.

AzureHub and SpokeVNet GatewayExpressRouteTerraform

AWS Global Accelerator, Low Latency Global Traffic Routing

Deployed AWS Global Accelerator to provide static anycast IPs and health checked routing to regional endpoints, reducing latency and enabling sub-minute failover for production workloads across multiple AWS regions.

AWSGlobal AcceleratorRoute 53Multi RegionHigh Availability

cNGN, Nigeria's National Stablecoin

Lead infrastructure engineer for cNGN, designing and operating secure, highly available blockchain infrastructure for a national digital currency processing multi million dollar daily transaction volume.

BlockchainAWSGCPTerraformKubernetes

Scrybit Wallet, Licensed Multichain Custody

Designed and operated secure infrastructure for a licensed multichain digital asset custody and transaction signing platform, meeting regulatory requirements for asset custody.

MultichainHSM, SigningIAM HardeningEKS

Mojaaexchange, Blockchain Asset Management

Architected infrastructure supporting portfolio management and on chain settlement for a blockchain based asset management platform.

Portfolio MgmtOn chain SettlementTerraformObservability

CHATS, Humanitarian Aid Distribution

Designed and operated cloud infrastructure for a blockchain based aid distribution system running across multiple African countries, supporting transparent, auditable aid delivery.

Multi regionAuditabilityGitOpsPrometheus

Career and Impact

Professional experience

Apr 2024 to Present
Convexity

Platform and Cloud Infrastructure Engineer

Own and operate production infrastructure on AWS, my primary cloud, with supporting workloads on GCP, for four regulated fintech and blockchain platforms, cNGN, Scrybit Wallet, Mojaaexchange, and CHATS, supporting multi million dollar daily transaction volume.

Aug 2023 to Mar 2024
Darey.io

Cloud DevOps Engineer

Deployed and managed containerized applications on AWS with Docker and Kubernetes, automated provisioning with Terraform, and built CI/CD pipelines using Jenkins and GitHub Actions supporting hundreds of engineers in training.

Giving back

Volunteering

Apr 2025 to Present
NexaScale

Cloud Engineer Mentor

Volunteer mentor for aspiring cloud and DevOps engineers, coaching them on Kubernetes, Infrastructure as Code, and platform engineering, reviewing real world infrastructure projects and guiding learners toward production ready architecture.

About

Infrastructure should be invisible when it works, loud when something’s wrong.

I’m a Platform and Cloud Infrastructure Engineer with over 3 years designing, automating, and operating production grade infrastructure for regulated fintech and blockchain platforms.

My work centres on Infrastructure as Code, Kubernetes based platforms, GitOps driven CI/CD, and security and compliance hardening, turning complex requirements into simple, repeatable platforms teams can trust in production.

Long term, I am building toward AI infrastructure. The areas I am actively studying, not claiming as professional experience, include AI infrastructure, high performance computing, distributed systems at scale, GPU clusters, AI platform engineering, ML infrastructure, AI safety, secure compute, and scalable research infrastructure.

Based in Nigeria and open to remote and relocation.

Professional highlights

  • Lead infrastructure engineer for cNGN, Nigeria's national stablecoin
  • Own four regulated production platforms, AWS primary with GCP support
  • Implemented cross cloud keyless auth via GCP and AWS Workload Identity Federation
  • Centralized observability with Prometheus, Grafana, ELK, and Jaeger
  • Mentor with Nexascale for aspiring cloud and DevOps engineers

Areas I’m building toward

Learning and exploration, not professional experience

  • AI Infrastructure
  • High Performance Computing
  • Distributed Systems
  • GPU Clusters
  • AI Platform Engineering
  • ML Infrastructure
  • AI Safety
  • Secure Compute
  • Scalable Research Infrastructure

Reading and Exploration

Topics I enjoy exploring

Papers, docs, and systems I return to as I sharpen my understanding of modern compute.

Distributed Systems
Systems Programming
Cloud Architecture
AI Infrastructure
High Performance Computing
AI Safety
Scalable Compute
Platform Engineering
Infrastructure Security

Let’s connect

Let’s build something resilient.

Open to platform and cloud infrastructure roles, consulting, and collaborations, remote or relocation.