Dhawal Waghulde

I've built AI-powered applications including a Django mutual fund selection system using XGBoost to deliver recommendations aligned with user risk profiles, and a movie recommendation engine using collaborative and content-based filtering.

During my AI Data Analytics internship at InAmigos, I used Python, SQL, and Tableau to automate ETL workflows, integrate machine-learning models, and deliver predictive dashboards for data-driven decisions. At Kasnet Technologies, I designed Power BI dashboards that combined predictive insights with UK banking trends and customer segmentation.

I've also developed a LangChain RAG system that retrieves contextual answers from uploaded PDFs using FAISS and Hugging Face embeddings, along with a Pydantic-based AI agent for structured validation in Python workflows.

I'm an Information Technology graduate focused on building intelligent systems with Python, machine learning, generative AI, and modern software engineering practices.