Arjun Pandey developed a scheduling and architecture search optimization feature for the tathagatasrimani/codesign repository, focusing on improving performance and scalability in architecture exploration workflows. He refined the handling of buffer and memory nodes, enhanced the logic for selecting functions during architecture search, and optimized time accounting and resource allocation to enable faster and more predictable design iterations. Working primarily in Python, Arjun applied skills in algorithm design and code optimization to deliver code-level improvements that increased maintainability and repository readiness for future scaling. The work demonstrated depth in addressing core architectural challenges and improving resource utilization without introducing new bugs.