Hello,
This is Harsh Agarwal

I am a B.Tech Computer Science graduate with a strong foundation in Machine Learning, Deep Learning, Data Science, and Generative AI. I enjoy building end-to-end AI applications that solve real-world problems by combining data, machine learning models, and modern AI frameworks.

I have developed projects across Machine Learning, Computer Vision, Data Analytics, and Agentic AI systems built with Retrieval-Augmented Generation (RAG). My recent work includes an Agentic RAG Chatbot built using LangGraph, LangChain, Groq, FAISS, and Streamlit that combines conversational AI with document and website understanding, along with projects such as Facial Emotion Recognition, Customer Segmentation, Jaipur Rent Prediction, and IPL Auction Data Analysis.

My technical skills include Python, SQL, LangChain, LangGraph, TensorFlow, Keras, Scikit-learn, XGBoost, Pandas, NumPy, OpenCV, Streamlit, and FAISS. I have hands-on experience with data preprocessing, exploratory data analysis, feature engineering, model training, transfer learning, semantic search, prompt engineering, vector databases, and deploying AI-powered applications.

I am passionate about continuously learning emerging AI technologies and applying them to build practical, scalable, and impactful solutions.