I am a third-year Computer Science major at Indian Institute of Science Education and Research Bhopal interested in quantum information and algorithms, scientific computing and mathematical optimization. I am particularly drawn to problems where deep mathematical structure leads to elegant and efficient algorithmic solutions.

My research journey began with a quantum inspired active learning framework for materials discovery using amplitude encoding and covariance-aware uncertainty modeling. This work was strengthened by implementing Hybrid Monte Carlo and Metropolis–Hastings algorithms for lattice field simulations under Pablo Morande (University of Cambridge), where I studied autocorrelation effects and critical slowing down. Building on these experiences, I developed a real-time anomaly detection system for Quantum Key Distribution at QNu Labs, achieving high accuracy with low latency.

Currently, I am a Summer Research Intern under Prof. Filip Rozpędek and Dr. Stefan Krastanov (UMass Amherst), where I am implementing quantum convolutional codes, entanglement purification protocols, and quantum repeater simulations in QuantumClifford.jl and QuantumSavory.jl. In parallel, as a research intern with Prof. Dominique Orban (Polytechnique Montréal), I contribute to the JuliaSmoothOptimizers (JSO) ecosystem, translating CUTEst problems into structured Julia formulations using JuMP and ADNLPModels, improving documentation, and enhancing the OptimizationProblems.jl package.

I am actively looking for open-source collaborations, research opportunities, and contributions in quantum computing, high-performance scientific software, and optimization. I enjoy building well-tested, reusable tools that bridge theory and practical impact.