My name is Ojas Vatsyayan, and I am currently pursuing my undergraduate degree in Computer Science and Mathematics at the University of Illinois Urbana-Champaign. My interests focus on systems engineering, performance optimization, and building scalable data-driven pipelines.
Over the past year, I have been working on projects involving backend systems, large-scale data processing, and performance-focused engineering. I also worked as an Engineering Product Specialist Intern at Cisco, where I developed systems for analyzing large datasets and worked on improving throughput and latency in networking environments.
In addition, I have worked on projects involving LLM systems and evaluation pipelines, where I focused on experimentation, benchmarking, and analyzing system behavior under different configurations. This has strengthened my interest in building reproducible and scalable benchmarking frameworks.
Because of my strong interest in systems performance and benchmarking infrastructure, I am particularly interested in this project’s focus on integrating and automating simulator benchmarks across heterogeneous hardware environments. I am especially interested in the parameterization and automation aspects of the benchmarking workflow.
I am planning to begin by exploring one of the simulator benchmarks (likely Arbor) and understanding how it can be parameterized and integrated into a reproducible workflow.
I would be grateful for any guidance on:
• how I could begin contributing to the repository
• whether there are existing benchmark integrations or components that would be good entry points
• any beginner tasks or areas where additional automation would be helpful
I would also be happy to share my GitHub projects or discuss my prior work in more detail if helpful.
Thank you very much for your time and for the work you are doing in building infrastructure for computational neuroscience.
Kind regards,
Ojas Vatsyayan