building distributed C++/Python systems for resource allocation, observability, and platform services supporting large-scale EDA compute workloads

optimized performance-critical computation pipelines for quantum algorithms, focusing on circuit efficiency, resource constraints, and real-world feasibility

conducted research on correctness and verification of complex computational systems, with applications to quantum computing workflows

built full-stack applications and applied unsupervised ML techniques to support interactive product experiences and data-driven decision-making

led a 15-member engineering team delivering production web platforms used by 1,500+ users, owning system design, code quality, and release execution