Pavan User

I am a certified Data Analyst and Generative AI Engineer with practical experience in prompt engineering, retrieval-augmented generation (RAG), and LLM optimization. I combine strong data skills in SQL, Python, and Excel with modern AI tools to build reliable systems.

I have applied these skills in roles designing and optimizing prompts for large language models and developing end-to-end ML solutions, including production-ready RAG pipelines and Streamlit interfaces. My work emphasizes accuracy, source attribution, and minimizing hallucinations.

In internships and part-time roles I have developed ML models, performed feature engineering and EDA, and improved model performance — achieving accuracy improvements up to 95% in targeted tasks. I focus on scalable, transparent AI-driven workflows using LangChain, FAISS, transformers, and vector databases.

I value clear documentation, cross-team collaboration, and analytical problem solving. I seek opportunities to deliver impactful ML/GenAI products that balance technical rigor with end-user usability.