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Yukti Kamthan
Senior Software Engineer specializing in AI/ML and data systems
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About
Built and shipped production LLM/AI agent systems including an NL-to-SQL query agent with semantic search and Redis-based caching, using schema-aware prompting and threshold validation to reduce hallucinations. Has orchestration experience running ML microservices on Kubernetes and automating event-driven insurance (P&C) workflows (claims/policy + fraud checks), reporting ~60% manual overhead reduction and ~99% uptime, with strong monitoring/drift-detection and business-facing Power BI reporting.
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Key Strengths
- Built and deployed a production AI query agent (NL→SQL + insight summarization)
- Improved NL→SQL accuracy using schema-aware prompting and confidence/threshold validation to reduce hallucinations
- Implemented semantic search + Redis caching for faster context-aware retrieval
- Kubernetes orchestration for scalable, highly available ML microservices (reported ~99% uptime)
- Automated event-driven insurance claims fraud-check workflows with n8n, reducing manual overhead by ~60%
- End-to-end reliability approach: monitoring/alerting (Prometheus/Grafana/Alertmanager) + MLflow-based drift detection and retraining triggers
- Able to translate technical constraints (e.g., GPU latency) into business-facing dashboards and outcomes via Power BI
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