I build production-grade AI and cloud systems for Fortune 500 companies — then write honestly about what I learn. Twenty years of hard-earned infrastructure intuition, applied to the problems that actually matter right now.
Background
Twenty years in enterprise technology leaves marks. I've designed cloud architectures handling millions of calls annually, led multi-year platform transformations for Fortune 500 companies, and spent enough time in Terraform state files to know exactly where things break under pressure. I specialize in AWS cloud architecture, Amazon Connect, and the emerging discipline of building reliable AI systems — not just deploying them.
But building isn't enough on its own. I also teach. I've run data analytics bootcamps at George Washington University, and I've found that explaining something rigorously is the fastest way to discover what you don't actually understand yet. That same instinct drives the writing I publish on LinkedIn — where I write about AI architecture, cloud systems, and the questions that most people in tech are still too polite to ask out loud.
I speak four languages, hold AWS Solutions Architect Professional certification, and have spent the last year building in public: publishing animated explainers, developing open-source lab frameworks, and prototyping AI tools I actually use. My path from a BSc in Business Economics at Rutgers to leading Fortune 500 cloud implementations taught me that the most interesting problems sit at the intersection of technology and the humans who depend on it.
Certifications
Pursuing the AWS Golden Jacket — every certification, one at a time.
What I've Built
A fully self-contained, interactive HTML study app for the AWS DevOps Professional exam — featuring flashcards, quiz mode, an X-vs-Y comparison tool, quick reference, and an interactive mind map. All 68 questions rewritten for accuracy and realism.
View Project →A series of animated HTML explainers on AI concepts — RAG vs Fine-Tuning, LLM Hallucinations, Agentic AI, Human-in-the-Loop, and more. Screen-recorded and published as native video on LinkedIn, reaching thousands of practitioners.
View on GitHub →A 20-strip LinkedIn comic series exploring AI themes — governance, ethics, enterprise adoption, and the human side of machine intelligence — generated using Microsoft Copilot Designer and written with a practitioner's lens.
View Comic Series →An AI-powered exam question generator built on the Claude API with a two-pass QA architecture and web search grounding. Exam-agnostic by design — currently targeting AWS certifications with plans to expand across domains.
Content
I write about AI architecture, cloud systems, and the human questions that technology keeps raising.
LinkedIn feed coming soon — follow me at linkedin.com/in/faisalakhtar for the latest.
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CloudKata is an open-source self-graded AWS lab framework. You are given infrastructure requirements, you build them in your own AWS account, and you run a single validation script that tells you exactly how you did. No multiple choice. No honor system. Just real infrastructure and a score that reflects what you can actually build.
Expertise & Speaking