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Shriya Challapuram
Mid-Level Software Engineer specializing in LLM-powered developer tools
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About
Built and owned "Cortex," an AI agent that helps users understand large GitHub repositories by mapping architecture and relationships between files/folders in minutes. Implemented an agentic, multi-stage prompt decomposition approach and validated it across open-source repos, while also doing legacy service modernization work involving dependency upgrades and refactors.
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Key Strengths
- Owned and shipped an end-to-end AI product (Cortex) across frontend, backend, and AI integration
- Built an agentic, multi-stage decomposition workflow to improve debuggability and iteration speed
- Validated AI system behavior across GitHub repos of varying size/complexity
- Systematically debugged hallucinations by inspecting failing outputs and iterating with Claude Code
- Incremental legacy modernization via stepwise dependency upgrades and logic refactors
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