Hire Sripavani - RAG Engineer

* Processed and annotated large-scale datasets (text, image, and segmentation) to support training of Machine Learning and Deep Learning models * Ensured high-quality data labeling through validation, quality checks, and documentation, improving model performance and accuracy * Worked closely with AI/ML pipelines, contributing to data preparation for NLP and computer vision tasks * Performed text annotation tasks including Named Entity Recognition (NER), classification, and sentiment labeling * Developed strong understanding of data preprocessing techniques used in Machine Learning workflows * Collaborated with cross-functional teams to improve data quality and optimize annotation processes * Upskilled in Data Science, Machine Learning, and Deep Learning, with hands-on experience in building models using Python * Worked on projects involving sentiment analysis (LSTM), recommendation systems, and time series forecasting * Currently building applications using Generative AI, LLMs, RAG pipelines, and AI Agents using LangChain * Experience in deploying ML/AI applications using Flask and Streamlit, with exposure to AWS cloud services