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Nithyashree Raghunathan
Mid-level Software Engineer in Test specializing in AI and healthcare platforms
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About
QA/data pipeline engineer with hands-on AI product building experience, spanning enterprise AWS migration testing for Belgium postal services and personal multi-agent systems in fintech and recruiting. Stands out for combining rigorous validation and production stability work with modern LLM orchestration, guardrails, and messy-document normalization workflows.
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Key Strengths
- end-to-end ownership of deployment quality for AWS data pipeline migration
- identified 200+ defects across five integrated applications
- improved production stability with CI/CD-driven test automation
- strong data validation expertise using SQL quality gates
- stakeholder management through defect prioritization and structured reporting
- designed and built a multi-agent investment advisor architecture
- real-time AI system design with sub-second inference latency
- debugged non-deterministic agent behavior with logging and prompt-level fixes
- implemented guardrails for conflicting AI outputs
- built resilient document-processing workflows for messy resume inputs
- applied confidence-based routing to prevent low-quality AI extraction from impacting downstream scoring
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