Abhishek A M

I’m an AI/ML enthusiast and software developer focused on turning real-world problems into working data-driven solutions. I enjoy building end-to-end systems—from data preprocessing and model building to deployment—using tools like Python, Scikit-learn, TensorFlow, and full-stack frameworks.

In my internship at Microdegree, Mangalore, I built a full-stack e-commerce web application using Django. I handled user authentication, product catalog, and order management, and I designed backend APIs and database schema to support transactions and user workflows efficiently.

Some of my proudest projects include an AI-Powered House Price Prediction System using Random Forest Regression and XGBoost, deployed with Streamlit for real-time estimates. I also built an AI chatbot using NLP APIs (React + Node.js) and secured 2nd place in a national-level hackathon, plus an LSTM-based stock market prediction system and a RAG chatbot using LangChain + OpenAI with retrieval, prompt engineering, and conversational memory.