Hafsa Ahad

I’m a computer science graduate with concentrations in Artificial Intelligence & Intelligent Systems, focused on turning NLP and LLM techniques into real, user-centered products. I enjoy combining structured engineering with strong product thinking to create solutions people can actually rely on.

In my experience, I’ve supported AI initiatives end-to-end—from researching AI use cases and market demand, to drafting AI solution proposals using prompt engineering. I also worked through enterprise and technology simulations where I analyzed security risks, debugged application flows, and validated feature logic in sprint-style cycles.

My projects reflect my product ethos: building practical AI that’s grounded in trustworthy data. I engineered a Retrieval-Augmented Generation (RAG) pipeline with Python, LangChain, and FAISS for a Pakistani Legal AI Assistant, integrating the Grok API for context-aware explanations. I’m also the Founder & Product Lead of Qanoon-e-Nisa, designing a women-led legal support platform with onboarding and governance flows for AI-assisted matching and scalable process automation.