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 core algorithms in Python, emphasizing algorithm design and code optimization to enhance the handling of buffer and memory nodes. His work improved the logic for selecting functions during architecture search and optimized time accounting and resource allocation, enabling faster and more predictable design iterations. Although the project scope was limited to a single feature over one month, Arjun’s contributions laid a foundation for more maintainable and efficient architecture search within the software development process.