I’m grateful to share that I’ve successfully passed my Microsoft certification exam.
I’m now officially Microsoft Certified: Azure AI Apps and Agents Developer Associate.
This certification focuses on building and deploying AI applications and intelligent agents using Azure and Microsoft Foundry, including:
Generative AI
AI agents and agentic solutions
Computer vision
Text analysis
Information extraction
AI application development and deployment
For me, this represents more than a certificate.
It represents the preparation, long hours of learning, and the decision to keep improving as a software engineer.
I’m grateful to Pakistan Software Export Board (PSEB) for supporting opportunities that help Pakistani IT professionals develop globally relevant skills.
Thank you to MetaPi for the learning environment and support throughout this process, and to M. Umar Khan for the guidance and mentorship.
And finally, Alhamdulillah for giving me the strength to keep moving forward.
Another step forward in my career as a Full Stack Engineer working with AI and modern software systems.
I’ve built an entire Kajabi business system, website and all, with AI in hours.
Now I’m turning that process into a workflow other people can use.
It brings together the steps, instructions, and checks that guide AI from your initial idea through the build and launch. You use your own AI tools, with a clear process to follow.
This is for anyone starting a business on Kajabi, improving an existing one, or building for clients.
I’ve already done the build. What I’m developing now is the way to put that process in your hands. I’ll be sharing more soon. Who wants first dibs on access?
Meet Muse, an AI creative companion that helps turn rough ideas into clear concepts.
The thought you can't quite explain. The idea that's still taking shape. The concept you're trying to bring to life.
Muse meets you right there.
For this identity, I explored a visual direction that feels playful, expressive, and full of possibility, a reflection of what creativity can feel like when you have room to explore.
A research-assistant project exploring how AI applications can retrieve information and improve the quality of their responses through a self-correction workflow.
Project focus
Python-based AI application development.
Retrieval and research workflow design.
Improving answer reliability through evaluation and correction.
Self-correcting retrieval is the upgrade RAG has needed, Daniel. Most systems stop at the first retrieval and hope for the best, so building evaluation and correction into the workflow is a real reliability win. The live telemetry dashboard makes it feel production-ready.