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Anjali Bhogi
Mid-Level Full-Stack Java Developer specializing in microservices, cloud, and AI integration
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About
Backend engineer working on high-volume insurance claims intake systems who shipped a production GenAI document-classification capability in Spring Boot microservices. Emphasizes reliability in LLM systems (strict schemas, confidence thresholds, monitoring, and manual-review fallbacks) and runs evaluation loops with labeled historical documents to drive prompt/validation improvements and reduce manual review.
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Key Strengths
- Shipped production GenAI/LLM document classification end-to-end in a high-volume claims intake microservice
- Balances speed vs customization using feature flags and iterative prompt/guardrail improvements post-launch
- Strong LLM reliability practices: strict schemas, confidence thresholds, monitoring, and manual-review fallbacks
- Built scalable Spring Boot + Kafka pipeline for messy real-world documents with validation, retries, and observability (Prometheus/Grafana)
- Data-driven iteration via labeled test sets, accuracy/low-confidence metrics, and regression checks to prevent drift
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