Jun 2024 – Nov 2024 · 5 mos

• Generative AI + Platform Engineering (Affected by mass layoffs.)
• Building an Al Compliance Engine to accelerate the development of med-tech. 🚀
• ✅ Built a real-time ingestion pipeline using Kafka (self-hosted + MSK) with automated topic provisioning and ACL management.
• ✅ Setup Apache Airflow (self-hosted + MWAA) for orchestrating end-to-end ETL pipelines involving S3, Glue and Redshift.
• ✅ Deployed Kubeflow on internal K8s clusters to support end-to-end ML lifecycle: pipelines, model training, artifact tracking and serving.
• ✅ Designed and implemented a scaleable GitOps system internally via the "app-of-apps" approach for our K8s clusters across various environments using ArgoCD.
• ✅ Architected & deployed an internal VPN for our wider dev and platform teams using Twingate integrated with AzureAD and fully automated setup via TF.
• ✅ Setup and maintained self-hosted GitLab instances from scratch on dedicated K8s clusters.
• ✅ Regular debugging of K8s networking from coreDNS, kube-proxy, Cilium and networking policies.
• ✅ Setting up the platform's CDN from scratch with Fastly and integrating it with our systems alongside DNS and networking setup.
• ✅ Setup our K8s clusters with production ready with end to end DNS & SSL certs using cert-manager, externalDNS, external-secrets and NGINX ingress controllers.
• ✅ Designed and delivered on the setup of Pulsar in our clusters with high availablity clusters, setting up data retention of topics for long periods, tier storaging for various layers and automation of topics and Pulsar functions.
• ✅ Regular maintenance of Helm charts and Helmifiying new apps created by devs.
• ✅ Creating and maintaining home-made Terraform modules for various Azure resources like AKS, VNet, RGs, ACR, PostgresDB, DNS, private endpoints, roles, sso, keyvault, open_ai etc
• ✅ Managed Terraform-based deployments of MWAA and connected Airflow DAGs to Kafka consumers and S3 data lakes.

Sep 2022 – May 2024 · 1 yr 8 mos

• External advisor to computing programmes taught at University of Salford.
• I am currently an advisor for the degree of BSc (Hons) Computer Networks

Jul 2022 – Jun 2024 · 1 yr 11 mos

• Building and working on highly scalable software and systems with over 100M+ users. Backend + DevOps + Platform 🚀
• ✅ Core Team that migrated Trainline's previous CDN provider to AWS CloudFront (Article attached)
• ✅ Implemented canary deployments via Traefik and GitHub Actions increasing deployment reliability by 40%, allowing for smoother, safer rollouts and reducing rollback incidents.
• ✅ Created a Terraform provider from scratch for Traefik using Golang allowing us to create Traefik config 20% faster via an automated process and tracked by IaC.
• ✅ Core Team that implemented Trainline's internal developer platform aka IDP via Backstage and various other components.
• ✅ Driving Trainline's Cloud Native migration implementing various tools like Containers and Serverless via ECS and Lambdas. Self service templates for developers. Migrating over 500+ microservices to Cloud Native.
• ✅ Day to day maintenance of current infrastructure platform including NGINX, Consul and various sys-admin tasks.
• ✅ Built an internal platform API to manage the networking of Containers via ECS and Traefik. APIs written in JS.
• ✅ Created in-house IaC policies with Open Policy Agent integrated with Spacelift.
• ✅ Implementation of a robust in-house observability platform for Trainline services, leveraging ELK stack, New Relic, AWS CloudWatch and Prometheus/Grafana enhancing real-time monitoring, logging, and alerting, ensuring seamless performance and reliability across our containerised and microservices-based architecture.
• ✅ Designed & implemented a multi-tier AWS account architecture using Account Factory, Control Tower, Organisations and more!
• ✅ Created in-house Terraform modules and implementing testing via Terratests. Writing re-usable CICD pipeline templates.
• ✅ Automate everything possible. From writing automation scripts to invalidate cache, to orchestrating complex deployment pipelines, leaving no manual process untouched.

Sep 2021 – Aug 2022 · 11 mos

• Site Reliability Engineer | Capgemini – UK Government
• Containers/Kubernetes SME supporting critical infrastructure platforms.
• Built a custom Chaos Engineering tool in Golang to test system resilience
• Automated Dynatrace setup and alerting via Ansible; introduced Molecule testing
• Deployed Prometheus + Grafana; wrote alert rules and integrated Dynatrace
• Enforced Kubernetes Pod Security Policies and secured workloads with Trivy
• Created hardened, multi-stage Dockerfiles and managed Helm charts
• Implemented GitOps pipelines with ArgoCD across multiple clusters
• Led SRE standards rollout, production readiness reviews, on-call rotations and post-incident reviews
• Contributed to Terraform modules for EKS and AWS infrastructure
• Internal Enablement
• Delivered CKS training to 250+ engineers across Capgemini Platform Engineering UK
• Interviewed over 50+ engineer and mentored engineers from graduates to mid/senior level.
• Stack: Kubernetes, Docker, Terraform, AWS, Ansible, Helm, Trivy, Prometheus, Dynatrace, ArgoCD, Golang

Sep 2021 – Jan 2022 · 4 mos

• - Created a course on Kubernetes for the Absolute Beginner.

Aug 2021 – Oct 2021 · 2 mos · London, England, United Kingdom

• Built the cloud-native platform to securely onboard and manage IoT devices across AWS IoT Core and Azure IoT.
• Designed greenfield infra using Terraform across AWS, Azure and GCP (EKS, AKS, GKE)
• Implemented GitOps with ArgoCD and Istio service mesh across clusters
• Created QuarkLink CLI in Go to streamline device provisioning
• Deployed serverless EKS with Fargate, cutting container spend by 50%
• Owned monitoring via CloudWatch agents and ensured production-grade ops

Mar 2021 – Aug 2021 · 5 mos

• Cloud Infrastructure Architect in the CIO Advisory Team.
• Tech stack: AWS & Azure Architectures

Sep 2019 – Aug 2021 · 1 yr 11 mos · London, England, United Kingdom

• Tech stack: AWS, Terraform, Docker, Kubernetes