Architecting the future with Cloud Applied Agentic AI. I build intelligent, scalable systems using Next.js, FastAPI, and Docker.
GIAIC Q4 Specialist
Next.js & FastAPI
Docker & Deployment
Cloud Applied Agentic AI Specialist
I am a developer deeply immersed in the GIAIC AI & Computing program, currently mastering Quarter 4's Agentic AI track. My work focuses on building autonomous AI agents and scalable cloud architectures using Python, FastAPI, Docker, and Next.js.
Leveraging cutting-edge AI and Cloud technologies to build the next generation of digital products.
Developing autonomous AI agents and intelligent workflows using the GIAIC Quarter 4 stack. I build systems that don't just chat, but execute tasks.
Building robust, scalable web applications with Next.js and TypeScript. I specialize in high-performance frontends that connect seamlessly to AI backends.
Designing high-speed APIs with FastAPI and containerizing applications with Docker for seamless deployment on cloud platforms like Hugging Face.
A chronological look at my evolution from a Web Developer to an AI Specialist.
GIAIC (Governor Initiative)
Currently specializing in Quarter 4, focusing on building autonomous AI agents, multi-agent systems, and scalable cloud architectures.
Sindh Board
Pursuing Higher Secondary School Certificate with a focus on core scientific and technical subjects.
Sindh Board
Successfully completed secondary education with an A-1 Grade, demonstrating excellence in science and mathematics.
Saylani Mass IT Training (SMIT)
Gained a strong foundation in modern web technologies including HTML5, CSS3, JavaScript, and responsive design.
A showcase of my journey through Full Stack Development and Cloud Applied Agentic AI.
A sophisticated autonomous AI agent system developed for the GIAIC Quarter 4 track, focusing on cloud-applied behaviors.
An intelligent AI-powered assistant designed to automate job search tasks and optimize application workflows.
A productivity-focused application developed during Phase 2 of Hackathon 2. Optimized for seamless task management.
A robust command-line todo application exploring backend logic with TypeScript and API integrations.
An interactive browser-based logic game built to master state management and DOM manipulation.
"Tahirah's work on the UAARN AI Agent was impressive. Her understanding of autonomous workflows and FastAPI is far ahead of the curve."
AI Developer
"Collaborating on FocusFlow was a great experience. Tahirah's ability to handle complex TypeScript logic while maintaining a clean UI is remarkable."
Full Stack Engineer
"I reviewed her Todo CLI project; the code structure and handling of CORS issues showed a very professional approach to development."
Backend Specialist
Have a project in mind or want to discuss the future of Agentic AI? Let's build something intelligent together.
