I am a technology enthusiast driven by the passion for leveraging cutting-edge technologies to solve complex, real-world problems. With experience ranging from backend system optimization to groundbreaking research in AI and quantum computing, I aim to innovate at the intersection of engineering, technology, and entrepreneurship. At Morgan Stanley, I’ve led impactful initiatives, including consolidating legacy systems to improve efficiency by 30% and developing automation solutions that reduced manual workloads by 40%. My work on database optimization and multiprocessing reduced report generation times by 95%, demonstrating my ability to deliver high-value, scalable solutions. As a Product Manager at E Drives, I built a team of 12 to design a scalable electric bike rental ecosystem, boosting user engagement by 80% and increasing revenue by 25%. These experiences taught me the nuances of team leadership, product strategy, and end-to-end execution. In academia, I’ve contributed to groundbreaking research in quantum machine learning, publishing my findings in IEEE and Springer. My projects, such as implementing a novel quanvolutional neural network and developing recommendation systems for Samsung’s Bixby, reflect my commitment to exploring emerging technologies. Beyond technical work, I thrive in collaborative environments. I’ve led teams to success in prestigious competitions, including Smart India Hackathon 2022 and Unisys Cloud 20/20 Year 12, and was a finalist in Morgan Stanley's Technology Innovation Program 2023. Aspiring to become an entrepreneur, I’m deeply invested in understanding how technology can drive sustainable, impactful solutions. Whether optimizing enterprise systems, exploring AI's frontiers, or leading diverse teams, I bring dedication, creativity, and a results-driven mindset to everything I do. Let’s connect to explore opportunities for collaboration, innovation, and impact!