Agentic AI Benchmark
Designed and implemented production-grade software engineering benchmarks used to evaluate autonomous coding agents across realistic development environments and automated testing pipelines.
Project Detail
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Case Study Notes
Developed reproducible software engineering tasks spanning backend systems, APIs, databases, debugging, and infrastructure workflows.
Built automated validation pipelines, reference implementations, and scoring systems for objective benchmark evaluation.
Improved benchmark reliability by refining task specifications, debugging execution environments, and strengthening evaluation criteria.