I am a final-year Computer Science student specializing in Artificial Intelligence and Data Analysis.

I have hands-on experience solving complex problems in Natural Language Processing and Computer Vision, with a strong focus on building practical, high-impact AI systems.

My recent work includes developing a conversational BI system for financial data querying and visualization, where I contributed to microservices architecture, semantic parsing, and hybrid retrieval pipelines.

I also work on deep learning projects that involve model optimization, multimodal learning, and deployment-aware engineering to improve performance across different hardware environments.

In addition to applied AI, I have experience with data analysis, visualization, and backend development using tools such as Python, SQL, FastAPI, Docker, and React.

I am motivated by building reliable, scalable, and accurate solutions, and I enjoy working on projects that combine machine learning, software engineering, and real-world problem solving.