I am a Quantum Computing and Machine Learning researcher with a focus on Quantum Machine Learning (QML) and its applications on NISQ devices. As a graduate student at IIT Delhi, my current research centers around Quantum Bernoulli Factories and utilization of Deep Learning in Agent Based Simulation for infectious diseases. During my time as a QML Engineer Intern at BosonQ Psi, I led the development of quantum-enhanced machine learning algorithms for quality control, integrating both classical and quantum methods with hands-on expertise in TensorFlow, PennyLane, and Qiskit. I have also contributed as a research intern under renowned professors, working on Quantum Boosting algorithms and Density Functional Theory (DFT). As a Qiskit Advocate, I’ve mentored participants in global quantum challenges and delivered talks on advanced quantum algorithms and AI. My interest in Computational Material Science drives me to explore novel materials using DFT and other computational techniques, with a focus on quantum applications. I am passionate about advancing the frontiers of AI and quantum computing to tackle complex, real-world challenges.