CS at VIT Vellore with a deep love for mathematics, and a habit of shipping it: App Store games, an AI wearable, and research from forecasting to post-quantum cryptography.
Analyzed 4.94M Aadhaar records across 873 districts to build the Child Biometric Gap Index, a 5-model ML ensemble at 90.2% accuracy that identified 25 critical districts. Awarded by the UIDAI. 50,000+ participants.
Led the team with TKLA, a hybrid neural architecture combining Kolmogorov–Arnold Networks, multi-scale LSTMs and hierarchical attention for stock-market trend prediction.
Led the team to first place for a game interconnected with human blinking patterns, an exploration of novel human–computer interaction.
Clamp-on probe that vibrates a limb and reads bone resonance through paired accelerometers for a radiation-free stiffness index; soft-tissue damping is rejected by preload-sweep extrapolation combined with inter-sensor differential flexural-wave phase.
Assistive pointing device that gates each click on whether the press was volitional, judged from the shape of its mechanical transient — attack slope, ringdown damping, spectral centroid, not amplitude — conditioned on the hand's 4–6 Hz tremor state captured before contact.
Clamp-on watcher that takes both valve state and leak evidence from one passive piezo channel, flagging a micro-leak when residual turbulence outlives the installation's own post-closure decay envelope, far below a domestic flow meter's threshold.
Constantly exploring novel solutions in areas like AI-powered wearables, cloud computing, and post-quantum cryptography.
Believing that the best solutions come from diverse perspectives working together, as in my research projects.
Committed to creating and sharing free and accessible educational resources for the community.
Focused on creating things that make a meaningful difference, from free maths resources to financial prediction models.
Always up for new ideas, collaborations, or a conversation about maths and machines.
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