Manasa Valli Sangamreddy

Developed scalable AI pipelines using Hugging Face Sentence Transformers to automate content comparison and alignment in textbooks, improving accuracy and reducing manual effort. Led AI-based IP law textbook generation by converting unstructured PDFs and PPTs into structured Word documents, utilizing OpenAI API for summarization and keyword generation. Designed and deployed Retrieval-Augmented Generation workflows leveraging Llama 3 and OpenAI API for intelligent content rewriting. Built live Streamlit apps to enhance rewriting speed and contextual accuracy. Created automation pipelines for curriculum mapping in medical courses using semantic similarity models and OpenAI API. Conducted benchmarking of PDF parsers, OCR engines, and layout detection models to optimize structured content extraction. Developed internal productivity tools to streamline LLM experimentation and team collaboration.

Developed scalable AI-driven pipelines using Hugging Face Sentence Transformers for automated textbook change detection and semantic content mapping. Led end-to-end automation of converting unstructured legal PDFs and PPTs into structured documents, leveraging OpenAI API and custom RAG workflows to improve content rewriting and retrieval accuracy. Built live Streamlit apps to empower agents with enhanced rewriting speed and accuracy. Created curriculum mapping pipelines for medical courses using semantic similarity models and vector database retrieval. Conducted research benchmarking PDF parsers and OCR tools, and designed modular agentic workflows with LangChain and Autogen tools.

Created comprehensive technical content and modular code samples for AIML e-learning programs focused on readability and reusability. Developed automation frameworks for faculty and student performance analysis, enhancing reporting efficiency. Validated Data Science and ML course content using industry-standard libraries including TensorFlow and Hugging Face. Led internal research on LLM integration and prompt engineering to improve instructional automation. Developed Power BI dashboards for academic metrics visualization, supporting data-driven decision-making.