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I’m Emily A. Cisek, a Senior AI/ML Engineer and Data Scientist with 12+ years of experience building production-grade ML, LLM/RAG, and data platforms across healthcare, banking, and enterprise analytics. I thrive on turning complex data into measurable outcomes through robust evaluation, explainability, and governance. I’ve led cross-functional delivery, designed HIPAA- and FedRAMP-aligned AI systems, and scaled MLOps on AWS and GCP. I own the full AI lifecycle — from data pipelines and experimentation to deployment, monitoring, drift management, and clear stakeholder communication with clinical, product, and compliance teams.…I’m Emily A. Cisek, a Senior AI/ML Engineer and Data Scientist with 12+ years of experience building production-grade ML, LLM/RAG, and data platforms across healthcare, banking, and enterprise analytics. I thrive on turning complex data into measurable outcomes through robust evaluation, explainability, and governance. I’ve led cross-functional delivery, designed HIPAA- and FedRAMP-aligned AI systems, and scaled MLOps on AWS and GCP. I own the full AI lifecycle — from data pipelines and experimentation to deployment, monitoring, drift management, and clear stakeholder communication with clinical, product, and compliance teams.

Emily A. Cisek

Data Scientist, AI Engineer, Full Stack Developer, +4

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I’m Emily A. Cisek, a Senior AI/ML Engineer and Data Scientist with 12+ years of experience building production-grade ML, LLM/RAG, and data platforms across healthcare, banking, and enterprise analytics. I thrive on turning complex data into measurable outcomes through robust evaluation, explainability, and governance. I’ve led cross-functional delivery, designed HIPAA- and FedRAMP-aligned AI systems, and scaled MLOps on AWS and GCP. I own the full AI lifecycle — from data pipelines and experimentation to deployment, monitoring, drift management, and clear stakeholder communication with clinical, product, and compliance teams.…I’m Emily A. Cisek, a Senior AI/ML Engineer and Data Scientist with 12+ years of experience building production-grade ML, LLM/RAG, and data platforms across healthcare, banking, and enterprise analytics. I thrive on turning complex data into measurable outcomes through robust evaluation, explainability, and governance. I’ve led cross-functional delivery, designed HIPAA- and FedRAMP-aligned AI systems, and scaled MLOps on AWS and GCP. I own the full AI lifecycle — from data pipelines and experimentation to deployment, monitoring, drift management, and clear stakeholder communication with clinical, product, and compliance teams.

Available to hire

I’m Emily A. Cisek, a Senior AI/ML Engineer and Data Scientist with 12+ years of experience building production-grade ML, LLM/RAG, and data platforms across healthcare, banking, and enterprise analytics. I thrive on turning complex data into measurable outcomes through robust evaluation, explainability, and governance.

I’ve led cross-functional delivery, designed HIPAA- and FedRAMP-aligned AI systems, and scaled MLOps on AWS and GCP. I own the full AI lifecycle — from data pipelines and experimentation to deployment, monitoring, drift management, and clear stakeholder communication with clinical, product, and compliance teams.

Skills

Experience Level

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Work Experience

Lead AI/ML Engineer at CVS Health

January 1, 2021 - Present

Led AI engineering for the Virtual Care AI platform, a HIPAA-compliant enterprise solution predicting patient risk, enabling real-time clinical monitoring, and integrating LLM-driven automation into care workflows. Scaled predictive models across 10M+ EMR records using PySpark + Ray, established weekly retraining cycles, and implemented governance and guardrails for safe clinical use. Built enterprise reference architectures for GenAI/RAG adoption and led memory-aware multimodal agent development to support clinician workflows.

Data Scientist at Texas Capital Bank

February 1, 2018 - December 31, 2020

Applied NLP, statistical modeling, and data-driven analysis to document-heavy banking workflows. Built end-to-end NLP pipelines (BERT/RoBERTa), integrated OCR-derived features, developed retrieval systems (BM25, FAISS), and produced risk analytics dashboards to support compliance and operations, delivering significant automation and insight improvements.

Full Stack Python Engineer at Oracle Corporation

May 1, 2014 - December 31, 2017

Built large-scale ETL/ELT data pipelines ingesting telemetry into Azure Data Lake and SQL platforms; developed backend Python services and React-based dashboards; implemented document intelligence and search pipelines with Elasticsearch; established data quality frameworks, RBAC, and secure API design, while enabling reliable, auditable product insights at enterprise scale.

Lead AI/ML & Data Engineer at CVS Health

January 1, 2021 - Present

Led the AI engineering for CVS Health's Virtual Care AI platform, a HIPAA-compliant enterprise healthcare solution for patient risk prediction, real-time clinical monitoring, and LLM-driven automation. Designed enterprise AI reference architectures for GenAI, RAG, and predictive modeling with PHI isolation and governance. Owned the full AI lifecycle from data pipelines and experimentation to deployment, monitoring, drift management, and stakeholder communication with clinicians, product, and compliance teams. Scaled predictive models across 10M+ EMR records using PySpark and Ray, improving risk detection accuracy by 27% and enabling weekly retraining cycles. Implemented guardrails, grounding, and evaluation practices (LangSmith, PromptFoo, TruLens) to ensure safe outputs in clinical workflows. Built HIPAA-compliant APIs (FastAPI + GraphQL) with JWT/OAuth2, real-time messaging via Kafka/PubSub, and low-latency inference on Kubernetes via gRPC. Developed Streamlit dashboards and React ap