Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm James Wilkerson, a Senior AI Engineer with over 12 years of experience specializing in artificial intelligence, machine learning, and large language model solutions. I've had the opportunity to work across healthcare, pharma, and consulting domains, building innovative platforms that enhance workflows, improve patient care, and bring operational efficiencies. I love leveraging cutting-edge AI technologies and open-source tools to solve real-world challenges. I'm passionate about creating scalable AI solutions, from recommendation engines to real-time predictive models, always prioritizing explainability and compliance. When I'm not coding or designing AI systems, I enjoy sharing knowledge with peers and contributing to the broader AI community.…Hi, I'm James Wilkerson, a Senior AI Engineer with over 12 years of experience specializing in artificial intelligence, machine learning, and large language model solutions. I've had the opportunity to work across healthcare, pharma, and consulting domains, building innovative platforms that enhance workflows, improve patient care, and bring operational efficiencies. I love leveraging cutting-edge AI technologies and open-source tools to solve real-world challenges. I'm passionate about creating scalable AI solutions, from recommendation engines to real-time predictive models, always prioritizing explainability and compliance. When I'm not coding or designing AI systems, I enjoy sharing knowledge with peers and contributing to the broader AI community.

James Wilkerson

AI Engineer, AI Developer, Data Scientist, +3





Hi, I'm James Wilkerson, a Senior AI Engineer with over 12 years of experience specializing in artificial intelligence, machine learning, and large language model solutions. I've had the opportunity to work across healthcare, pharma, and consulting domains, building innovative platforms that enhance workflows, improve patient care, and bring operational efficiencies. I love leveraging cutting-edge AI technologies and open-source tools to solve real-world challenges. I'm passionate about creating scalable AI solutions, from recommendation engines to real-time predictive models, always prioritizing explainability and compliance. When I'm not coding or designing AI systems, I enjoy sharing knowledge with peers and contributing to the broader AI community.…Hi, I'm James Wilkerson, a Senior AI Engineer with over 12 years of experience specializing in artificial intelligence, machine learning, and large language model solutions. I've had the opportunity to work across healthcare, pharma, and consulting domains, building innovative platforms that enhance workflows, improve patient care, and bring operational efficiencies. I love leveraging cutting-edge AI technologies and open-source tools to solve real-world challenges. I'm passionate about creating scalable AI solutions, from recommendation engines to real-time predictive models, always prioritizing explainability and compliance. When I'm not coding or designing AI systems, I enjoy sharing knowledge with peers and contributing to the broader AI community.

Available to hire

Hi, I’m James Wilkerson, a Senior AI Engineer with over 12 years of experience specializing in artificial intelligence, machine learning, and large language model solutions. I’ve had the opportunity to work across healthcare, pharma, and consulting domains, building innovative platforms that enhance workflows, improve patient care, and bring operational efficiencies. I love leveraging cutting-edge AI technologies and open-source tools to solve real-world challenges.

I’m passionate about creating scalable AI solutions, from recommendation engines to real-time predictive models, always prioritizing explainability and compliance. When I’m not coding or designing AI systems, I enjoy sharing knowledge with peers and contributing to the broader AI community.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer at Arine

July 1, 2021 - Present

Architected a GenAI-powered recommendation engine using fine-tuned transformer models to generate precise medication recommendations personalized for each patient, boosting pharmacist efficiency and adherence outcomes. Directed end-to-end lifecycle of large language model deployment with prompt design, dataset curation, model evaluation, and deployment pipelines for clinical data insights. Built a scalable insights engine leveraging LangChain and custom RAG architecture for clinical summaries and risk narratives. Collaborated with compliance and legal teams to enforce HIPAA and HITRUST support. Implemented containerized infrastructure for secure, multi-tenant ML deployment using Docker and Kubernetes. Developed graph-based reasoning tools for explainability of medication justifications. Deployed real-time GCP Vertex AI model achieving 91% F1 score predicting adverse events. Created enterprise-wide benchmarking suite for LLM evaluation, increasing GenAI ROI by 32%.

Lead Machine Learning Engineer at Medtronic

May 31, 2021 - July 25, 2025

Developed predictive maintenance and anomaly detection models for remote patient monitoring devices, reducing unplanned device recalls by 36%. Designed LSTM and transformer networks to analyze cardiac rhythms for early arrhythmia detection. Led a cross-functional team to build a cloud-native MLOps platform automating AI module lifecycle, including FDA-compliant A/B testing. Partnered with regulatory teams for clinical-grade AI model documentation and device submissions. Integrated explainable AI methods such as SHAP and LIME into clinical dashboards for interpretability. Delivered real-time risk alerts via FastAPI microservices directly into mobile apps. Standardized ML development with reusable templates, Docker, and MLflow to ensure compliance. Contributed to digital health strategy roadmaps emphasizing AI-driven proactive disease management.

AI/ML Engineer at Flatiron Health

November 30, 2016 - July 25, 2025

Engineered ML pipelines extracting tumor staging, pathology, and genetic markers from clinical text using BiLSTM-CRF models and rule engines. Led data harmonization effort across oncology EMRs, reducing schema mismatches by 42%. Built internal labeling platform accelerating supervised learning across cancer types threefold. Collaborated with pharma partners on predictive drug response models using longitudinal patient data. Authored QA scripts and anomaly detection for real-world data integrity and regulatory compliance. Implemented model governance best practices including drift detection and fairness analysis. Delivered interpretability workshops for onboarding data scientists and published research on oncology trial feasibility at healthcare analytics forums.

Machine Learning Engineer at Moravio

June 30, 2013 - July 25, 2025

Designed classification algorithms detecting anomalies in medical device production lines from vibration and torque sensor data using logistic regression and SVMs. Developed predictive maintenance models forecasting equipment failures ahead of time utilizing gradient boosting and time-series techniques. Automated embedded sensor calibration and telemetry streaming into PostgreSQL for dashboards. Collaborated with hardware teams on deploying lightweight ML models in C++ on microcontroller-based diagnostic tools. Created full-stack visualization dashboards integrating Plotly, SQLite, and real-time alerts for quality control. Supported R&D with CNN-based denoising autoencoders improving signal quality. Integrated ERP APIs with ML pipelines for defect flagging and production automation. Authored onboarding and technical documentation for knowledge transfer.

Senior AI Engineer at Arine

July 1, 2021 - Present

Architected a GenAI-powered recommendation engine using fine-tuned transformer models to generate precise medication recommendations personalized for each patient, leading to increased pharmacist efficiency and improved adherence outcomes. Directed the end-to-end lifecycle of LLM deployment including prompt design, dataset curation, model evaluation, and deployment pipelines tailored to extract insights from structured and unstructured clinical data. Built a scalable insights engine leveraging LangChain and custom RAG architecture to dynamically generate clinical summaries and risk narratives for high-priority MTM cases. Collaborated closely with compliance, legal, and infrastructure teams to enforce HIPAA and HITRUST compliance within AI workflows handling PHI. Implemented containerized ML infrastructure using Docker and Kubernetes for secure, cross-client multi-tenancy and efficient retraining cycles. Developed graph-based reasoning tools with Neo4j to enhance explainability in GenAI

Lead Machine Learning Engineer at Medtronic

May 31, 2021 - July 25, 2025

Developed predictive maintenance and anomaly detection models for remote patient monitoring devices, reducing unplanned device recalls by 36%. Designed LSTM networks and attention-based transformers for early detection of atrial fibrillation and device misfires. Led a multidisciplinary team to build a cloud-native MLOps platform automating training, validation, deployment, and A/B testing of FDA-compliant AI modules. Partnered with regulatory teams for clinical-grade model documentation to support Class II device submission. Embedded explainable AI tools (SHAP, LIME) into physician dashboards for interpretability of predictions. Delivered machine learning pipelines through FastAPI microservices enabling real-time risk alerts in mobile apps. Standardized ML development with reusable templates, Docker, and MLflow ensuring repeatability and compliance. Oversaw system architecture review and contributed to digital health AI strategy roadmap.

AI/ML Engineer at Flatiron Health

November 30, 2016 - July 25, 2025

Engineered machine learning pipelines to extract tumor staging, pathology details, and genetic markers from clinical text using custom BiLSTM-CRF models and spaCy-enhanced rule engines. Led data harmonization initiative aligning EMR records across oncology clinics, reducing schema mismatches by 42% and improving real-world data readiness. Built an internal labeling platform supporting model-assisted annotation, speeding supervised learning by 3x across cancer types. Collaborated with pharma partners to model patient treatment journeys and build predictive drug response tools using longitudinal data. Authored real-world data QA and anomaly detection scripts to ensure regulatory-grade data integrity. Applied model governance best practices including drift detection, fairness analysis, and continuous monitoring. Provided workshops on ML interpretability for onboarding 30+ data scientists to oncology AI platform. Published internal white papers and presented AI-supported oncology trial fea

Machine Learning Engineer at Moravio

June 30, 2013 - July 25, 2025

Designed classification algorithms using logistic regression and SVMs to detect anomalies in medical device production lines based on vibration and torque sensor data. Developed predictive maintenance models leveraging gradient boosting and time-series decomposition for early equipment failure forecasting. Automated embedded sensor calibration and telemetry streaming via Python scripts into PostgreSQL dashboards. Collaborated with hardware teams to deploy lightweight ML models in C++ on microcontroller-based diagnostic tools. Created full-stack visualization dashboards with JupyterLab, Plotly, and SQLite for quality control teams. Supported R&D by building CNN-based denoising autoencoders improving signal clarity by 18%. Integrated ERP system APIs with ML pipeline triggers enabling predictive defect flagging and automated production adjustments. Authored onboarding guides and technical documentation for knowledge sharing.