Professional Experience
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Leading tutorial sessions for master's students in mathematics for quantum computing
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Guiding students through key concepts to build a strong foundation in quantum computing
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Implementing hands-on, practical approach to teaching complex mathematical concepts
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Crafted lecture notes and numerical lab modules for quantum computing and quantum machine learning courses
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Contributed to the QuanRPTU project to inspire students and cultivate the next generation of quantum technology specialists
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Developed educational materials bridging theoretical concepts with practical applications
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Focused on developing classical-quantum hybrid image segmentation algorithms
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Explored innovative methods for quantum image segmentation to enhance image analysis and processing
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Contributed to research on practical applications of quantum computing in computer vision
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Contributed expertise in training state-of-the-art Large Language Models (LLMs)
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Acted as a domain expert in physics and calculus to facilitate Reinforcement Learning from Human Feedback (RLHF)
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Reviewed and generated technical content that significantly improved model performance and project outcomes
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Worked as a frontend developer for Quantum firmware using Python, Artiq, and PyQt
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Created an intuitive user interface for quantum computing applications
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Developed wrapper functions using pyVisa for seamless remote control of scientific instruments
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Conducted testing and debugging to ensure optimal performance and user experience
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Developed a self-learning algorithm to characterize the state of quantum systems using Bayesian experimental designs
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Demonstrated expertise in the calibration and alignment of optical systems
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Contributed to GUI development for Quantum firmware