I’m a Master’s student pursuing Integrated Innovation for Products & Services at Carnegie Mellon University, with a background in Mathematics and Computing from IIT Kharagpur. I previously worked as a Software Engineer at Microsoft India, where I honored my expertise in web development. During my undergraduate studies, I gained valuable experience in AI/ML through projects and thesis work, where I applied advanced computational methods to solve real-world problems.
I am passionate about building transformative technology solutions that combine my technical depth with product strategy and design thinking. At CMU, I am expanding my skills in innovation and product development to bridge the gap between technology and user-centric solutions.
Designed, engineered, and maintained cloud-based Microsoft Sustainability solutions.
Enhanced Algozenith’s ed-tech platform to improve user journey for 1200+ students.
Contributed to the Microsoft Sustainability Manager App by developing an impactful feature.
Coursework: Design of AI Products, User Research
Graduated with GPA: 9.17/10
Ideated an AI-driven adaptive Gmail interface that automates group meeting scheduling by detecting intent and suggesting optimal times based on contextual user data.
Conducted mixed-method UX research uncovering key insights to support mothers’ wellness, highlighting opportunities for guilt-free self-care and adaptive home workouts.
Analyzed Duolingo’s user journey, uncovering motivation and engagement gaps in user experience, and proposed strategic feature redesigns to improve retention and subscriber conversions.
Built a secure local LLM chatbot that ingests custom files to answer queries with 98% accuracy while minimizing data leak risk using encryption and hashing.
Developed ML models leveraging Fourier Transforms and chaotic maps to detect temporal patterns, achieving 99% accuracy in causality detection across noisy, shifting datasets.
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