Generative AI Engineering Trainee
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Prompt + Response Writing (SFT)As a Generative AI Engineering Trainee, contributed to the development of LLM applications with advanced prompting and few-shot learning strategies. Participated in fine-tuning and supervised SFT workflows for the training of language models using OpenAI API and NVIDIA NIM. Involved in tool-calling agent design and Retrieval-Augmented Generation (RAG) systems for AI training purposes. • Crafted and evaluated synthetic prompt-response pairs for LLM supervised tuning processes. • Applied Chain-of-Thought and system control prompts for improved model alignment. • Designed agentic tool-calling workflows enabling LLM function-calling and external API integration. • Participated in LLM and RAG workflow evaluations and metric-based effectiveness studies.