Jeet S Swadia

Ai Ml Engineer @MetLife

Architect and deploy end-to-end machine learning pipelines that automate life-insurance underwriting, processing medical records, lab reports and physician notes with Python, TensorFlow and scikit-learn- Design and maintain NLP workflows with spaCy and Hugging Face Transformers to extract critical health indicators such as cholesterol, blood pressure, smoking history from unstructured documents- Build and optimize XGBoost and LightGBM risk-scoring models trained on decades of claims data, delivering real-time assessments of applicant mortality and morbidity risk- Embed explainable AI using SHAP and LIME in production, generating transparent feature-attribution reports that satisfy state and federal insurance regulations- Drive CI / CD for ML artifacts in Azure DevOps by automating unit tests, model validation and containerized Kubernetes deployments for seamless zero-downtime releases- Operate continuous model monitoring and drift detection with Azure Monitor and MLflow, triggering automated retraining whenever performance thresholds are crossed- Partner with actuarial, underwriting and compliance teams to translate business requirements into technical solutions, deliver weekly demos and iterate on model parameters based on stakeholder feedback- Lead A / B testing and uplift-modeling initiatives that have reduced manual review time by 30 percent, and ensure enterprise-grade data governance by encrypting PII/PHI in transit and at rest, applying role-based access controls and maintaining full audit trails- Author and maintain model cards, technical runbooks and standard operating procedures to support knowledge transfer, regulatory audits and ongoing operational excellence-