Ayush kumar Pandey

I’m an aspiring AI/ML Engineer with hands-on experience across Machine Learning, NLP, Deep Learning, Generative AI, and MLOps. I build end-to-end AI applications, from training and fine-tuning to production-ready REST APIs, with a strong focus on reliability and measurable performance improvements.

As an AI/ML Engineer Intern, I trained supervised ML models (e.g., XGBoost, Random Forest) on 50,000+ record datasets and built NLP pipelines with Hugging Face Transformers for text classification and sentiment analysis on 20,000+ samples. I automated preprocessing with Pandas and NumPy, and integrated models into APIs using FastAPI and Docker while collaborating across the full SDLC.

My projects reflect my interest in real-world LLM systems: a persona ChatGPT-style chatbot with LangChain and OpenAI, a LangGraph-powered City Intelligence Agent using tool calling with RAG via Vector Databases, and a CNN image classifier with interpretability using Grad-CAM. I’m especially drawn to LLM integration, RAG pipelines, and agentic AI systems supported by practical MLOps like CI/CD and AWS deployment.