Humayra M.

I’m a Computer Science student focused on building practical skills in AI, with a strong interest in prompt engineering and LLM-powered applications. I work with Python and have hands-on experience with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and basic NLP libraries like spaCy and NLTK.I specialize in designing and refining prompts to improve output quality, relevance, and consistency across different use cases. My work includes experimenting with prompt structures, building retrieval-augmented generation (RAG) workflows, and exploring how model behavior changes with different instructions and contexts.I am particularly interested in bridging the gap between AI models and real-world applications—focusing on usability, reliability, and clear outputs. I continuously learn by building projects, testing ideas, and staying updated with advancements in LLMs and AI systems.I’m looking for opportunities where I can contribute to AI-driven products, improve prompt strategies, and grow into a role that involves model behavior, evaluation, and real-world deployment.