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Amarnath Kaushik
Junior Software Engineer specializing in full-stack systems and AI applications
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About
Full-stack AI engineer who has owned production deployments for both a voice journaling/emotional insights app and a RAG-based research assistant. Stands out for turning messy, failure-prone LLM and document pipelines into reliable user-facing systems through strong debugging, staged workflow design, and post-launch stabilization.
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Key Strengths
- end-to-end ownership of customer deployments from discovery through post-launch stabilization
- full-stack AI product implementation across backend, frontend, auth, and service integrations
- strong production debugging for flaky multi-stage AI/data pipelines
- designs resilient workflows for partial failures, retries, and safe recovery
- translates founder/product goals into concrete user flows and system behavior
- builds grounded RAG systems with citations over user-owned documents
- improved RAG latency by ~25% through search/rerank optimization
- handled scale of 10K+ document chunks in pgvector-backed retrieval
- uses status-driven, idempotent pipeline design to preserve data integrity
- fast stakeholder feedback loop driven by real user testing
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