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Vasudha Prerepa
Mid-Level Java Full-Stack Developer specializing in cloud-native microservices
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About
QA/validation-focused engineer with experience at Meta testing an ML+LLM content classification/summarization system, including production-vs-test behavior gaps. Built automated E2E validation and drift monitoring (PSI, KL divergence, embedding cosine similarity) run daily/multiple times per day and gated via CI. Also implemented Jenkins-orchestrated Selenium/API test suites in Docker at Capgemini and partnered with a business analyst to convert business rules into automated AI-driven validation checks.
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Key Strengths
- Production AI/LLM system validation and reliability testing
- Built automated end-to-end validation by calling production inference APIs and benchmarking outputs
- Implemented drift monitoring using PSI, KL divergence, and embedding cosine similarity
- CI-driven automated test suites to gate model releases before going live
- Test orchestration with Jenkins + Docker to reduce manual regression and catch issues early
- Ability to translate business rules into automated validation checks with non-technical stakeholders
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