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Shahzad Shairf
Senior Full-Stack & AI Developer specializing in Python/React, AWS, and LLM/RAG systems
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Backend Python engineer who owned the full backend build of an AI-driven platform for UK golf clubs, including FastAPI microservices, vector search, and a tuned LangChain+Pinecone RAG pipeline focused on cost and hallucination reduction. Experienced deploying Django/FastAPI/Flask stacks on AWS-backed Kubernetes with GitOps/ArgoCD-style delivery, plus executing legacy-to-AWS migrations and building Kafka-based real-time analytics pipelines.
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Key Strengths
- End-to-end backend architecture ownership (routing through DB schema)
- Built cost-efficient RAG pipeline with improved relevance and reduced hallucinations
- Production CI/CD automation with GitHub Actions/GitLab CI and GitOps workflows
- Kubernetes deployments of web services plus supporting data/AI components
- AWS cloud migration execution (containerization, replication/syncing, minimizing downtime)
- Real-time Kafka streaming pipeline for high-frequency enterprise analytics with monitoring
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