I’m a passionate and curious Computer Science graduate with a strong focus on Artificial Intelligence, Machine Learning, and Data Science. My technical foundation lies in algorithms, data structures, database systems, and computer networks, but what truly excites me is turning data into intelligent, meaningful insights that solve real-world problems.

I’ve developed practical experience across the machine learning lifecycle — from data preprocessing and cleaning to model training, evaluation, and optimization. My work primarily involves building classification and regression models on structured numerical data, analyzing patterns, and drawing actionable conclusions. Through these projects, I’ve learned how thoughtful feature selection and preprocessing can directly impact model accuracy and performance.

I’m currently expanding my expertise into Natural Language Processing (NLP), exploring how AI can understand, interpret, and generate human language. I’m especially fascinated by areas like literary style transfer and chatbot development, where machine learning meets creativity. These domains allow me to combine my love for language and literature with my analytical mindset — developing models that grasp tone, emotion, and narrative style.

Beyond core ML development, I’m skilled in data visualization and reporting, helping transform complex results into clear, insightful representations. I believe effective storytelling through data is just as important as building a high-performing model. My approach emphasizes clarity, precision, and creativity — building solutions that are explainable, adaptable, and impactful.

Outside the technical sphere, I’m an avid reader drawn to Gothic and psychological fiction, fascinated by how emotion and narrative intertwine. This interest shapes the way I approach AI — not just as a science, but as a way to understand patterns of human thought and expression.

My long-term vision is to grow as an AI specialist and NLP researcher, creating systems that don’t just process data but genuinely understand context and meaning. Whether through academic exploration or professional collaboration, I want my work to stand at the intersection of data, language, and human insight — where technology learns to think, feel, and communicate more like us.