At QC-Devs, through Google Summer of Code 2026, I designed and implemented a Double-Split-Plus-Solve architecture to stabilize Coulomb potential computation in the GRID library. I addressed numerical instability around atomic nuclei by analytically separating atomic cores and bonding densities.
I implemented an offline, NNLS-fitted atomic Gaussian parameter database, removing BFit and AtomDB runtime dependencies. I also fitted the remaining bonding-density residual with SciPy NNLS and a geometric Gaussian basis, enabling analytical evaluation of cusp potentials and stable BVP solver convergence.
Across QC-Devs projects including grid, denspart, and iodata, I contributed improvements to numerical robustness, interpolation performance, file parsing, and unit handling. I also improved Krkn’s tree-format output by restructuring its visualization logic.
I developed a Django-based Priority Task Scheduler with dynamic task scoring, a custom Min-Heap Priority Queue, and dashboard, calendar, and analytics modules. I’m studying Computer Science and Engineering at Dayananda Sagar College of Engineering and have solved more than 750 competitive programming questions.
