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k4mrul (Abdul Hannan Kamrul) Β· GitHub

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k4mrul/Readme.md

Hi! I'm Abdul Hannan, you can call me Kamrul πŸ‘‹

Platform Engineer and AI enthusiast with 5 years of experience in Cloud, Microservices, Linux, and Kubernetes.


πŸ™‹β€β™‚οΈ About Me

  • πŸ’Ό I'm a DevOps Engineer, experience in Linux, Kubernetes, cloud infrastructure, microservices and automation

  • βš™οΈ I regularly build automation solutions to reduce manual work and improve operational efficiency

  • πŸš€ I'm passionate about solving infrastructure challenges and delivering reliable, secure, and scalable solutions

  • 🧠 Currently learning Machine Learning, MLOps, model training, and production AI systems


πŸ’Ό Work Experience

DevOps Engineer, weDevs

  • Built & operated production Kubernetes platforms on GCP and DigitalOcean β€” 99%+ availability, seamless scaling through traffic spikes
  • Built an AI-powered Kubernetes assistant (LangChainGo, OpenAI, Streamlit) β€” cut platform-team dependency
  • Established GitOps with FluxCD β€” cut manual deployment activity ~70%, improved consistency
  • Scaled a microservices-based SaaS platform on Kubernetes β€” supported customer interactions via resilient, horizontally-scalable architecture
  • Built a Golang custom domain management platform β€” streamlined customer onboarding, reduced config effort
  • Automated build/test/release with GitHub Actions β€” cut manual release times by 80%
  • Used KEDA for intelligent autoscaling β€” optimized infra cost
  • Built observability & alerting (Grafana, Prometheus, Alertmanager, Sentry) β€” caught incidents before customer impact

Site Reliability Engineer, MailerLite

  • Contributed on building enterprise-grade CI/CD with GitHub Actions β€” cut release cycles ~75%
  • Ran production workloads on GKE β€” 99%+ availability through high-traffic periods
  • Established GitOps with FluxCD β€” cut manual deployment overhead ~70%, improved consistency & auditability
  • Standardized Kubernetes app lifecycle with Helm β€” faster environment provisioning
  • Automated config & infra management with Ansible & Terraform β€” cut manual config errors ~80%
  • Increased platform security with WAF & secret management β€” reduced risk, improved compliance
  • On-call participation, incident response & postmortems β€” cut MTTR ~80% via better monitoring & runbooks

DevOps Engineer, Mayalogy

  • Monitored & optimized infra/apps (CloudWatch, Prometheus, Grafana, New Relic, Sentry) β€” improved availability, error tracking
  • Designed & ran highly available Kubernetes clusters on AWS EKS β€” zero-downtime deploys, robust auto-recovery
  • Containerized & migrated Laravel/Python apps to Docker/Kubernetes β€” improved scalability & maintainability
  • Tuned NGINX & OS/kernel params, backed by load testing β€” boosted performance
  • Automated deployments with GitHub Actions; managed AWS via Terraform
  • Built infra automation & serverless functions in Bash/Python, including AWS Lambda
  • Partnered with dev & QA teams β€” kept platform reliable for millions of users

πŸ“Š GitHub Stats


πŸ’» Tech Stack:

Infrastructure & IaC

CI/CD & Version Control

Cloud Providers & Services

Web Servers

Monitoring & Logging

Databases & Storage

Data & Workflow Orchestration

Model Lifecycle

LLM & RAG Systems

Feature/Artifact Store & Versioning

EDA & Visualization

Programming Languages


Pinned Loading

  1. digitalocean-alpine digitalocean-alpine Public

    Forked from kennwhite/digitalocean-alpine

    Script to install Alpine Linux on a Digital Ocean droplet

    Shell 7 2

  2. kubernetes-lxd kubernetes-lxd Public

    Shell 3 5

  3. kubeflow-mnist kubeflow-mnist Public

    Recognizing Digits with Kubeflow

    Jupyter Notebook

  4. alibi-drift-outlier-detection alibi-drift-outlier-detection Public

    Jupyter Notebook


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