Internship· Jan 2025
Machine Learning Engineer Intern
Krutanic
Developed a RAG-based document analysis system achieving 95% precision for intelligent Q&A over 200+ page documents.
What I did
- 01Designed and optimized a Retrieval-Augmented Generation (RAG) system for PDF analysis and question answering over documents exceeding 200+ pages.
- 02Improved model precision by approximately 95% through optimized embeddings, retriever tuning, and prompt engineering.
- 03Built AI-powered user interfaces using Python, TensorFlow, and Streamlit, enabling real-time querying with sub-second response times.
- 04Prepared the system for deployment by optimizing inference pipelines and reducing response latency by ~30%.
Skills
PythonTensorFlowStreamlitRAGNLPMachine LearningEmbeddingsPrompt Engineering
Projects
- RAG-based PDF Analysis System
- AI-Powered Document Q&A Interface
