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Sam Nick
Senior AI/ML Engineer specializing in Generative AI, LLMs, and NLP
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About
ML/AI engineer with hands-on experience building healthcare and fraud-detection systems from experimentation through deployment, monitoring, and retraining. Stands out for combining real-time IoT pipelines, cloud-native MLOps, and GenAI/RAG in regulated healthcare settings, with reported impact including reduced emergency response times and a 25% reduction in manual diagnosis time.
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Key Strengths
- end-to-end ownership of production ML systems
- real-time healthcare AI using IoT streaming data
- MLOps and scalable cloud deployment on AWS/GCP
- monitoring and drift detection with automated retraining
- GenAI/RAG applied to healthcare decision support
- human-in-the-loop and safety-focused LLM evaluation
- translated research models into production fraud systems
- balanced latency, cost, and quality via LSTM/XGBoost ensemble design
- built reusable Python services with strong testing practices
- improved team velocity through modular APIs and GitLab CI/CD
- 25% reduction in manual diagnosis time
- reduced emergency response time through timely health alerts
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