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Annie Suzan
Mid Software Engineer specializing in machine learning and real-time data systems
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About
Hands-on implementation-focused candidate with experience owning cloud deployments and putting LLM/RAG workflows into production. They stand out for combining customer-facing deployment ownership with practical AI systems work, including retrieval tuning, hallucination mitigation, production incident response, and document-processing pipelines for messy real-world inputs.
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Key Strengths
- owned end-to-end customer deployments from discovery through stabilization
- strong stakeholder alignment across competing priorities
- production RAG system implementation for internal knowledge retrieval
- LLM reliability tuning through chunking, embeddings, prompt constraints, and fallback logic
- debugging non-deterministic AI issues via logs and end-to-end tracing
- messy document-to-API workflow design using OCR, normalization, validation, and human review
- metrics-driven operations using uptime, latency, error rates, retrieval accuracy, and user adoption
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