Saad Ahmad

Software engineer in training — DevOps, infrastructure automation, and applied AI.

I go by Ayyzenn online. I’m a student at FAST NUCES, and I build systems that are meant to run — not demos that only work in a screenshot.

My daily environment is Arch Linux with i3: a terminal-first setup where I design, automate, break things, and document what actually works.

What I Do

I work across two areas that reinforce each other:

DevOps & Infrastructure
I automate servers, ship CI/CD pipelines, write Ansible playbooks, and deploy with containers. If a task repeats, it becomes code. If it has to run across machines, it becomes infrastructure.

AI & Intelligent Systems
I build RAG pipelines, multi-agent workflows, and systems that answer questions from documents or databases — often fully local, with no data leaving the machine.

When those worlds meet, the work gets interesting: Jenkins pulling from GitHub, building images, and deploying automatically; agents that route questions, decompose them, and return grounded answers.

Selected Work

Each item below has a full write-up in the posts.

  • Multi-Agent RAG — Router + generator agents with ChromaDB, HyDE, and query decomposition for simple lookups through multi-hop questions.
  • Text-to-SQL — Natural-language questions over a database with Ollama, LangChain, and SQLAlchemy.
  • Local RAG Knowledge Base — Offline retrieval with Ollama, ChromaDB, and sentence-transformers.
  • YouTube Summarizer — LangGraph + Gemini agentic workflow for fetch, summarize, and Q&A.
  • Jenkins + Docker CI/CD — GitHub → build image → run container, end to end.
  • Ansible for Docker & Kubernetes — Playbooks that prepare Ubuntu servers as Kubernetes nodes.
  • Scraping + REST API — FastAPI/Flask backend with BeautifulSoup, Selenium, PostgreSQL, and MongoDB.

How I Work

I learn by shipping. I build on real machines, with real configs, against real failure modes — then I write it down so the next pass is cleaner.

If it doesn’t run on my hardware, it doesn’t make the blog.

Browse by focus: DevOps, AI-ML, or Others.

Stack

Linux & Systems

Arch Linux Arch LinuxUbuntu UbuntuGentoo GentooDebian DebianLinux Linux
Bash BashVim VimSSH SSHUnix UnixGCC GCC

DevOps & Cloud

Docker DockerKubernetes KubernetesJenkins JenkinsAnsible AnsibleTerraform Terraform
Azure AzureAWS AWSGit GitGitHub GitHubGrafana Grafana

AI / ML & Data

Python PythonJupyter JupyterPandas PandasNumPy NumPyKeras Keras
MongoDB MongoDBPostgreSQL PostgreSQLSelenium SeleniumKaggle KaggleAnaconda Anaconda

Web & Development

FastAPI FastAPIFlask FlaskDjango DjangoHTML5 HTML5JavaScript JavaScript
Hugo HugoVS Code VS CodeMarkdown MarkdownYAML YAMLC C

Timeline

WhenWhat
2020Started this site and began writing in public.
2021Dual-boot Ubuntu. SSH, Git, Azure — first real infrastructure work.
2022Deep DevOps: Docker, Puppet, Chef, services, Gentoo from source.
2025Applied AI: local LLMs, RAG, agentic workflows, Text-to-SQL.
2026Combining both: Ansible, Jenkins CI/CD, APIs, multi-agent systems.

Connect

“They call us dreamers… But we are the ones who don’t sleep.”