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Christopher Taylor

@christophertaylor0025

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Senior AI/ML engineer driving clinical AI deployments and scalable ML systems.

United States

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What I'm looking for

I seek senior AI/ML roles building production-grade, ethically aligned clinical or enterprise ML systems with strong MLOps, collaboration, and growth opportunities.

I am a Senior AI/ML Engineer with a decade of experience building production ML services across healthcare, finance, and education, specializing in LLM fine-tuning, RAG pipelines, model optimization, and cloud deployments. I have led deployments on Azure AI Foundry, AWS SageMaker, and GCP Vertex AI, reduced latency and training costs, and translated PoCs into services supporting tens of thousands of end users.

I collaborate closely with clinicians, compliance teams, and remote Agile teams to ensure HIPAA-aligned, auditable AI systems, mentor junior engineers, and deliver measurable improvements—such as a 12% boost in physician decision-support accuracy and $1M+ informed vendor decisions—while advocating for ethical, explainable AI in production.

Experience

Work history, roles, and key accomplishments

Senior AI/ML Engineer

PredictionHealth

Sep 2022 - Aug 2025 (2 years 11 months)

Built a retrieval-augmented generation pipeline with Azure AI Search + Prompt Flow, enabling physicians to query clinical knowledge bases with 25% higher accuracy.

LLMs)HuggingFace Ecosystem Mistral LLaMA GPT 4 Claude Anthropic RAG Azure AI Foundry AWS Sagemaker GCP Vertex AI GRPC APIs CUDA GenAI GenAI Architecture PyTorch fastAPI Ray CI CD MLFlow

Machine Learning Engineer

FINEX Healthcare Analytics and Informatics Consult

May 2019 - Aug 2022 (3 years 3 months)

Developed CNN-based MRI/CT scan analysis in PyTorch, achieving 92% diagnostic accuracy in hospital pilots.

Spark Airflow PyTorch XGBoost SHAP MLFlow Power BI Prometheus Random Forest Convolutional Neural Networks (CNNs)NLP NLP Machine Learning GloVe BERT ETL RESTful APIs Power BI Embedded Tableau Grafana Grafana Tempo

Software Engineer, Machine Learning

Finex Solutions

Jun 2015 - Apr 2019 (3 years 10 months)

Developed fraud detection and real-time anomaly systems, cutting false positives by 28% and scaling monitoring to 50K+ daily transactions; containerized ML services to achieve 99.9% uptime.