• Execute a defined engineering/research project aligned with your research. • Implement a prototype that addresses a concrete infrastructure or AI-systems challenge. • Build and run benchmarks using realistic workloads to measure performance, reliability, or security improvements. • Document the design and implementation, including assumptions, architecture, tradeoffs, and evaluation results. • Deliver a final artifact that includes a working prototype, reproducible results, technical write-up, and internal presentation. • Collaborate with mentors to refine the approach, validate results, and, if appropriate, prepare findings for internal adoption or external publication.