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zaheer1247/README.md

Zaheer Abbas — Available for hire, Hyderabad. Kubernetes lab: kubeadm control plane and three workers.

Zaheer Abbas

AI systems and cloud infrastructure — learning how LLMs and agents meet real clusters, not just chat windows.

I run Kubernetes, IaC, and observability in a home lab, and I use generative AI as a daily engineering practice. Direction: quality engineering → cloud/Kubernetes → AI infrastructure → LLM systems and agents.

Hyderabad · Available for hire · Currently studying: CKA

GitHub · LinkedIn · Live portfolio

What I'm building

Studying generative AI in parallel with CKA. Daily work happens with Claude Pro, Cursor, and ChatGPT Codex — how I write, debug, and operate, not products I shipped.

Interest now: LLM/agent workflows as a practitioner, and the infrastructure those systems need (Kubernetes, containers, metrics). Planning toward becoming an AI generalist. This is a study path, not a research appointment.

Public AI-adjacent work today is the Kubernetes agent in featured work. More GenAI repos will land here when they are real.

Featured work

Infrastructure and platform repos, plus one public LLM agent on Kubernetes.

Gemini DevOps agent for Kubernetes
Natural-language cluster ops: Gemini + LangChain tools wrap kubectl (deploy, list, delete, status).
Why it matters: public example of an LLM agent driving real cluster actions — study work, not a paper.
Python Gemini LangChain Kubernetes

AWS Terraform IaC
Provision and manage cloud infrastructure with Terraform.
Why it matters: repeatable AWS instead of console clicking.
Terraform AWS HCL

Monitoring and alerting
Prometheus + Grafana for metrics and dashboards.
Why it matters: you cannot run AI or cluster workloads you cannot see.
Prometheus Grafana Shell

Flask + Jenkins + Docker CI/CD
Commit-to-container pipeline for a Flask app.
Why it matters: the delivery path workloads still need.
Python Flask Jenkins Docker

Microservices architecture
Python/Flask services with Docker, PostgreSQL, and Redis.
Why it matters: multi-service runtime, cache, and data — not a single container.
Python Flask Docker PostgreSQL Redis

Portfolio
Personal site. Live: zaheer1247-github-io.vercel.app
Why it matters: the public narrative next to the repos.
HTML

Research / AI exploration

Study notes, not a publication list. Topics I am working through:

  • Generative AI and LLM systems (how models are used in tools and workflows)
  • Agents: tool-calling loops against real APIs and clusters
  • AI infrastructure: running and observing workloads on Kubernetes
  • Toward an AI generalist practice alongside CKA

Infrastructure lab

Break it, rebuild it, automate it, observe it. Practice cluster — not a production claim.

kubeadm topology: one control plane and three RHEL worker VMs

MacBook Pro M4 Max · RHEL 9/10 under Parallels · kubeadm (1 control plane + 3 workers) · k3d for faster loops · Prometheus, Node Exporter, Grafana · Ansible, Terraform, golden images · Podman, containerd, Docker

Stack
AI / ML Generative AI (study) · LLM/agent workflows · Claude Pro · Cursor · ChatGPT Codex
Infrastructure Kubernetes · kubeadm · k3d · RHEL
Cloud AWS · Terraform
Containers Docker · Podman · containerd
Observability Prometheus · Node Exporter · Grafana
Automation Ansible · reusable scripts · golden VM images
CI/CD Jenkins

Background

~11 years in software quality and Selenium-based test automation (RealPage QE). That work is how I learned to treat systems as something you verify, break, and make repeatable — the same habits I use on clusters and on AI tooling.

Path I am on: Software quality & automation → cloud/infrastructure → Kubernetes → AI infrastructure → LLM/AI systems → agents.

Certifications

Currently studying: CKA

Then, in this order: CKS · RHCSA · RHCE · Terraform Associate · AWS SAA · Prometheus Certified Associate

Hyderabad · Available for hire

github.com/zaheer1247 · LinkedIn · zaheer1247-github-io.vercel.app

Pinned Loading

  1. devops-prj2-microservices-architecture devops-prj2-microservices-architecture Public

    Devops Project implementing Microservices Architecture using Python, Flas, Docker, PostgreSQL,Redis Cache

    HTML

  2. devops-prj3-kubernetes-cluster-management devops-prj3-kubernetes-cluster-management Public

    This repository contains a DevOps project implementing a Kubernetes Cluster Management using Gemini LLM and LangChain

    Jupyter Notebook

  3. devops-prj5-monitoring-and-alerting devops-prj5-monitoring-and-alerting Public

    Monitoring and Alerting using Prometheus and Grafana

    Shell

  4. devops-project1-flask-ci-cd devops-project1-flask-ci-cd Public

    This repository contains a DevOps project implementing a CI/CD pipeline for a Flask web application using Docker, Jenkins, and Python.

    Python

  5. devops-project4-aws-terraform-infrastructure-as-code devops-project4-aws-terraform-infrastructure-as-code Public

    Provision and manage cloud infrastructure using Terraform automation

    HCL

  6. zaheer1247.github.io zaheer1247.github.io Public

    Personal portfolio showcasing my experience in Quality Engineering, Test Automation, DevOps, Cloud technologies, certifications, and technical projects.

    HTML