Emmanuel Itohowo Imeh

Led AI development initiatives, boosting deployment speed by building CI/CD pipelines (Airflow, Docker, Kubernetes); ensured ethical AI compliance with model explainability (SHAP, LIME); automated NLP document classification (PyTorch, SageMaker) achieving 96% accuracy and saving 50+ hours per week; integrated AI workflows with N8N & Zapier to cut manual reporting tasks by 70%.

Led AI initiatives from concept to production. Boosted deployment speed 3× by building CI/CD pipelines (Airflow, Docker, Kubernetes). Implemented model explainability (SHAP, LIME) for ethical AI. Automated NLP document classification (PyTorch, SageMaker) achieving 96% accuracy and saving 50+ hours/week. Integrated AI workflows with N8N & Zapier, reducing manual reporting tasks by 70%.

Led AI development projects remotely, building CI/CD pipelines with Airflow, Docker, and Kubernetes that tripled deployment speed and reduced downtime. Implemented model explainability using SHAP and LIME to ensure compliance with ethical AI standards. Automated NLP document classification in PyTorch on AWS SageMaker, achieving 96% accuracy and saving over 50 hours per week. Integrated AI workflows using N8N and Zapier, reducing manual reporting by 70%.