I am an ambitious Artificial Intelligence student with a strong focus on deep learning, computer vision, and Python programming.

I have worked on intelligent systems and technical internship tasks that involved LLM benchmarking and API integration, which strengthened my practical understanding of applied AI.

My project experience includes building a context-aware RAG chatbot, an automated customer support ticket categorization system, and an end-to-end customer churn prediction pipeline.

I am currently working on my final-year project, AEGIS, which focuses on multimodal deep learning for deepfake and emotion detection.

I enjoy solving complex problems with AI, machine learning, and Git-based workflows, especially in areas that can create value in the financial sector.

I am a quick learner, a collaborative team member, and comfortable working with Python, machine learning frameworks, data analysis tools, and modern AI APIs.