Artificial Intelligence Engineer

Overview #

Worked as an AI Engineer Intern, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI applications for educational platforms.

Key Responsibilities #

• LLM Research: Conducted research on Large Language Models (LLMs), evaluating architectures and practical applications for AI-powered assistants.
• RAG Development: Explored Retrieval-Augmented Generation (RAG) techniques and contributed to the implementation of retrieval-based chatbot systems.
• AI Chatbots: Assisted in the development and improvement of LLM-powered conversational agents for customer support and educational services.
• Generative AI: Participated in AI-driven content generation workflows using state-of-the-art generative models.
• Prompt Engineering: Designed, tested, and optimized prompts to improve response quality, accuracy, and consistency across LLM-based applications.

Technologies & Skills #

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Generative AI
• Python
• LangChain
• Vector Databases