Who I Am
I'm an Artificial Intelligence graduate focused on building practical AI systems that bridge research and real-world applications. My work spans machine learning, NLP, and LLM-based solutions, with hands-on experience in predictive modeling and Retrieval-Augmented Generation (RAG) pipelines.
Through academic projects and industry internships, I've developed end-to-end ML workflows — from data preprocessing and feature engineering to model training, evaluation, and deployment using Python and modern AI tools.
I care about engineering clarity as much as model performance. Effective ML isn't just about accuracy — it's about clean implementation, reproducibility, and systems that deliver measurable value.
