Prerna Pandey

I’m a highly motivated AI professional specializing in Machine Learning, Deep Learning, and NLP, with hands-on experience building Generative AI and Agentic AI systems. I develop LLM-powered applications, predictive models, and data-driven solutions designed to perform in real-world settings.

In my recent internships, I built industrial defect detection using Siamese Networks and PaDiM for anomaly detection, and created multi-class defect classification with ResNet-18, plus an interactive dashboard for model predictions and metrics. I also worked on resume parsing and recommendation with Python + NLP and integrated FAISS for semantic search, while collaborating with senior engineers on Applied AI workflows (including OpenAI and Grok). My projects include a Business Intelligence Agent (FastAPI, Streamlit, ClickHouse), a credit risk scoring system achieving 0.91 AUC using SMOTE and Flask API deployment, and an AI Medical Chatbot using RAG with LangChain, Groq, and FAISS—containerized and deployed with Streamlit and Docker.