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Karthik Patralapati
Mid-level AI/ML Software Engineer specializing in GPU-optimized LLM inference and cloud microservices
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Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.
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Key Strengths
- Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations
- Improved retrieval quality in noisy clinical text using metadata filters, better chunking, and re-ranking
- Reduced hallucinations via strict verification/fact-checking layer and agent guardrails
- Designed scalable real-time LLM system optimizing latency/throughput with vector DB scaling and load balancing
- Strong orchestration experience (Airflow/Composer/Step Functions) for reliable ETL and embedding refresh workflows
- Treats LLM agents as testable software systems with stepwise design, eval datasets, and monitoring/metrics
- Effective collaboration with non-technical stakeholders using prototypes and dashboards to refine behavior and guardrails
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