Manikandan Kondappan is a quantum physicist with expertise in experimental quantum optics, quantum computing, and light-matter interactions. He has extensive experience in building quantum hardware, including atom chips, magneto-optical traps, and quantum key distribution setups. His work spans equipment prototyping, optical/electronic system design, and applying machine learning (e.g., deep reinforcement learning, transformers) to lab automation. He has published numerous papers in top journals such as Physical Review A and Review of Scientific Instruments, focusing on quantum nondemolition measurements and entanglement generation. With a strong background in both theoretical and experimental quantum physics, he has collaborated with international institutions and contributed to advancing quantum technology through innovative hardware and software solutions. He is a member of the American Physical Society (APS).