Python Programming SQL Data Analytics Generative AI RAG/LLM Systems
Question 1: Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs? He is a recent graduate with a Master’s degree in Artificial Intelligence from XXXX, where he achieved a GPA of 3.7/4. He also holds a Bachelor’s degree in Computer Science and Engineering from XXXX in India. He has completed two internships: one at XXXX as a Generative AI Intern, where he developed a customer support chatbot, and another at XXXX as a Data Analyst and AI Research Intern. His academic and internship experiences have given him exposure to Python, SQL, and RAG/LLM‑based applications, as well as data analytics and generative AI tools. Question 2: What skill(s) / experience would you self‑describe as strongest or specialist in? He identifies his strongest expertise in Python, SQL, AI engineering, and generative AI applications. He has practical experience with RAG (Retrieval‑Augmented Generation) systems, chatbot development, and data analytics using tools such as Power BI, NumPy, and Pandas. He is also familiar with generative AI platforms and tools including ChatGPT, MidJourney, and cloud‑based AI solutions. His strengths lie in building AI applications that integrate real‑time data, designing chatbots for customer support, and developing data pipelines for extraction, cleaning, and analysis. Question 3: Do you have the lists of key criteria’s according to the clients’ requirements? He has strong academic credentials in AI, hands‑on internship experience, and practical project work in RAG systems and chatbot development. Notable projects include building a RAG‑based application that extracts answers from financial reports and cites the exact source lines, reducing hallucinations and improving accuracy.
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