At Quantum Integrated Machines, I scale hybrid quantum-classical simulations from 8 to 32 qubits across three drug-relevant molecules for the Fujitsu Quantum Challenge. I use VQE and Sample-Based Quantum Diagonalization, and benchmark quantum results against classical methods including DMRG, CCSD(T), and DFT.
As a Quantum Research Intern at Quantum Integrated Machines, I implemented VQE and SQD workflows in Qiskit for molecular ground-state energy calculations. I also open-sourced an FMO-VQE implementation and a classical shadow tomography project, and evaluated quantum ansatz families for NISQ hardware feasibility.
Earlier, as an Associate in Risk Consulting at PwC India, I analyzed security alerts and logs using SIEM and SOAR tools, helping improve incident response time by 30%. At NIT Nagpur, I co-founded the VNIT TSS Committee and helped establish a cultural body representing Telugu students.
