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Zubair Shaik
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
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About
Built and productionized an LLM-powered loan decisioning agent at Bank of America, integrating RAG with microservices to automate creditworthiness assessment and recommendations. Emphasizes real-world reliability and governance (EKS autoscaling, observability, SOC2/PCI security controls), and drove measurable outcomes including 20% faster loan decisions and a reduction in agent failures/fallbacks to under 2% through schema enforcement and confidence-based routing.
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Key Strengths
- Shipped production LLM agent for loan decision support with RAG and microservices integration
- Production-readiness focus: autoscaling on AWS EKS, circuit breakers/retries, observability (Prometheus/Grafana/OpenTelemetry), security (OAuth2/JWT), compliance (SOC2/PCI)
- Measurable impact: reduced loan decision latency by 20%
- Improved reliability by reducing failure/fallback rate from ~8–10% to <2% via schema validation, auto-reprompting, prompt hardening, and confidence-based routing
- Designed predictable multi-step agent workflows using tool/function calling and strict JSON structured outputs
- Handled messy/permission-gapped ERP-like data with canonical contracts, source-of-truth reconciliation, fail-closed strategies, and idempotent execution safeguards
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