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Amit Prajapati
Mid-level Software Engineer specializing in full-stack development and applied AI
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Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.
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Key Strengths
- Built and deployed an end-to-end RAG chatbot indexing 500+ university webpages
- Improved retrieval quality via custom HTML normalization, deduplication (hashing), and chunking strategy tuning
- Implemented hallucination controls with strict retrieved-context constraints, confidence thresholds, and cited outputs
- Orchestrated multi-step ETL pipeline with AWS Step Functions (retries, failure handling, scheduling)
- Structured AI agent/workflow reliability approach (design/validation/testing/continuous evaluation with metrics)
- Delivered 30x faster fraud/claims triage workflow for non-technical stakeholders using association rules + dashboards
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