AI Developer, IT, Data Annotator.AI Developer, IT, Data Annotator.

Key Achievements:

Built and evaluated Generative AI applications using Large Language Models (LLMs) for real-world automation and decision-support use cases. Designed and tested prompt strategies and multi-turn conversations to improve model response accuracy, grounding, and contextual relevance. Implemented Retrieval-Augmented Generation (RAG) pipelines using vector databases to enhance factual consistency and response quality. •Developed LLM-based backend systems integrating API-based models for structured AI workflows. •Conducted qualitative evaluation of AI outputs, analyzing responses for correctness, helpfulness, and contextual alignment. •Applied prompt optimization techniques to improve AI performance across different tasks and use cases. •Collaborated in remote development environments to test and refine AI systems built with frameworks such as LangChain and multi-agent architectures. •Reviewed datasets to ensure accuracy, consistency, and quality of labeled data used in AI systems. •Evaluated model outputs against defined guidelines to identify errors, inconsistencies, and improvement opportunities.