AHMAD HASSAN
GitHub

INTELLIGENCE MEETS INFRASTRUCTURE

AHMADHASSAN.

AGENTIC AI DEVELOPER
× DEVOPS ENGINEER

I build agents that act.
Infrastructure that scales.

Based in Lahore, Pakistan.

Ahmad Hassan, rendered as a cyan and violet triangular particle portrait
HUMAN AT THE CORE / INTELLIGENCE IN MOTION
Chat on WhatsApp (opens in a new tab)Get in touch

SCROLL TO EXPLORE

02 / MEET AHMAD.AI

A little more
human context.

AHMAD.AIYOUR GUIDE TO THE ENGINEER.
A CONVERSATION, WITH CONTEXT.Connecting…

Get to know the engineer.

Ask about Ahmad’s skills, experience, projects or how to reach him.

Answers grounded in Ahmad’s supplied résumé and project references.

Profile answers are available now. Free-form AI will connect when configured. This site doesn’t save conversations.

03 / DEVOPS & INFRASTRUCTURE

Intelligence needs
infrastructure.

The agent is only one part of the system. I build the boundaries, delivery paths, and visibility around it.

01 Provision deliberately.
Terraform-backed AWS resources, with infrastructure defined alongside the application.
02 Make delivery repeatable.
Containerized backends and CI checks for lint, tests, and builds.
03 Keep operations inspectable.
Read-only access boundaries, request traces, and audit trails.
SEE THE ENGINEERING IN OPSPILOT
A CONCEPTUAL TOPOLOGY | PROVISION / DEPLOY / OPERATE

04 / AGENTIC AI ENGINEERING

From intent.
To impact.

I build tool-calling AI agents that connect decisions to tools, and RAG pipelines that connect answers to evidence. Useful intelligence should be inspectable.

01Reason
Turn a goal into a plan. Choose the next tool deliberately.
02Act
Use bounded tools and explicit calls. Keep execution visible.
03Verify
Check evidence and assumptions. Preserve a trace of the result.

Retrieval, permissions, and grounded answers belong to the same loop. CloudOps brings them together in its planned RAG design.

EXPLORE THE SYSTEMS
An agent coordinates a loop: reason about the goal, act through tools, then verify the returned evidence.

05 / SELECTED WORK

Selected systems.

Explore AI agents, RAG systems and AWS cloud tooling.

RESOURCE INVESTIGATION / SHARED SERVICESCONCEPTUAL ARCHITECTURE STUDY.
AWS / AGENTIC OPERATIONSSOURCE AVAILABLE

Investigate the cloud. Keep the evidence.

A read-only AWS resource and cost investigation workspace. A Next.js galaxy view, FastAPI routes, an OpenAI Agents SDK investigator and token-gated MCP tools all draw from the same service layer.

  • Collectors for 15 AWS resource types and seven waste checks
  • Moto fixtures and a service-layer oracle for deterministic evaluation
  • Read-only deletion-impact analysis that does not delete resources

Next.js · FastAPI · boto3 · OpenAI Agents SDK · DynamoDB · MCP

VIEW CASE STUDY REPOSITORY

06 / THE NEXT CONVERSATION

Let’s build
something useful.

An agent, an infrastructure challenge, or an idea worth investigating. Tell me what you’re working on.

ahmad_warraich@outlook.com
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