Chilla Kalyan

I am a Machine Learning Engineer with hands-on experience in predictive modeling, LLM-powered applications, and end-to-end ML deployment. I have built data-driven solutions using Python, XGBoost, FAISS, and LLaMA, focusing on scalable and production-ready AI systems. My work includes developing RAG pipelines, optimizing model performance, and implementing efficient backend architectures. I recently published an IEEE conference paper (ICEARS 2026) on Hardware Trojan Detection using machine learning techniques. I am passionate about solving real-world problems through AI and continuously improving system performance and reliability.