Sri ashrai Devulapally

• Developed and deployed AI-driven pipelines, leveraging Azure Machine Learning and RAG models to
enhance retrieval and symbolic computation processes in academic settings, resulting in increased
accuracy for complex problem-solving.
• Collaborated with data scientists and cross-functional teams to refine machine learning models and
ensure compliance with security and governance standards, improving the deployment process by
over 30%.
• Utilized prompt engineering and multi-agent systems to optimize LLM outputs, enabling more
accurate and efficient responses in educational and customer-facing applications.

• Assisted in the development of NLP models for automated
content analysis and topic classification, boosting user
engagement and improving recommendation accuracy by
25%.
• Contributed to the design of generative AI models to
support customized learning modules in the Ed-Tech sector,
utilizing LangChain and Google Palm for personalized
content delivery.
• Conducted data preprocessing, transformation, and
statistical analysis to improve feature engineering processes,
reducing data preparation time by 20%.