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Duque Ortega Mutis DuqueOM

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DuqueOM / ml-model-lifecycle.md
Last active January 20, 2026 21:23
ML Model Lifecycle Management

🔄 ML Model Lifecycle Management

📋 Version History

Project v1.0.0 (Sep 2025) v1.5.0 (Jan 2026) Improvement
BankChurn AUC 0.78 AUC 0.853 +9.4%
CarVision R² 0.72 R² 0.766 +6.4%
TelecomAI Acc 78% Acc 82% +5.1%
@DuqueOM
DuqueOM / devops-mlops-skills.md
Last active January 20, 2026 21:24
DevOps + MLOps Skills Proficiency

🎯 DevOps + MLOps Skills Proficiency

🏗️ Infrastructure as Code

  • Terraform (AWS: EKS, VPC, RDS, S3) → 90%
  • Docker (Multi-stage, optimization) → 80%
  • Kubernetes (Manifests, HPA, probes) → 75%
  • AWS Services (EC2, Lambda, CloudWatch) → 65%

🔄 CI/CD & Automation

  • GitHub Actions (Matrix, workflows) → 90%
@DuqueOM
DuqueOM / ml-portfolio-metrics.md
Last active January 20, 2026 21:16
ML Portfolio Performance Metrics

📊 ML Portfolio Performance Metrics

🏦 BankChurn Predictor

  • Algorithm: VotingClassifier (LR + RF)
  • AUC-ROC: 0.853 ⭐⭐⭐⭐⭐
  • Accuracy: 85.7%
  • Precision@10%: 84% churners identified
  • Test Coverage: 86%
  • API: FastAPI + Prometheus /metrics
@DuqueOM
DuqueOM / ml-mlops-stack.md
Last active January 20, 2026 14:34
ML-MLOps Stack at a Glance

🛠️ ML-MLOps Stack at a Glance

Infrastructure & Deployment

  • 🐳 Docker Multi-Stage Builds → 3 services, <150MB images
  • ☸️ Kubernetes Manifests → HPA, probes, rolling updates
  • 🏗️ Terraform AWS Modules → EKS, VPC, RDS, S3, ECR
  • ☁️ AWS Cloud Services → Production-ready architecture

MLOps & Experimentation

  • 🔬 MLflow Experiment Tracking → 9 runs across 3 projects