Mid-level Full-Stack & Data Engineer specializing in cloud-native systems and FinTech
Vamshi already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
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Built and shipped production AI search and RAG features for a university portal, including an embeddings-based semantic search layer and a documentation-grounded assistant with citations and anti-hallucination prompting. Also developed scalable, reliable data pipelines integrating Google Ads/GA4/Meta APIs for automated reporting, with strong focus on evaluation loops and retrieval quality improvements (hybrid search, chunking, query-log driven iteration).
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