Shervin’s Portfolio / Production Excellence & MLOps

Architected and scaled enterprise ML platform serving 65+ critical infrastructure clients, driving $60M+ in operational cost savings through predictive asset failure modeling, anomaly detection, and infrastructure risk assessment. Led technical implementation of production ML systems on GCP Vertex AI, accelerating deployment velocity from 4-6 weeks to same-day releases.

Platform Architecture:

• GCP Vertex AI Platform - Built scalable ML infrastructure on Google Cloud Platform enabling enterprise-grade model deployment and monitoring
• CI/CD Pipeline Design - Established end-to-end ML development standards with version control, automated validation, and deployment templates
• Deployment Velocity - Transformed deployment process: 4-6 weeks → same-day releases while maintaining model governance and quality
• MLOps Maturity - Achieved Google MLOps maturity level with experimentation-operations symmetry and AI-assisted development practices

Impact & Proof Points:

• 💰 $60M+ in operational cost savings across client base
• 📈 65+ enterprise clients (grown from initial pilot)
• ⚡ Same-day deployment capability with maintained quality standards
• 🔧 Improved developer productivity through standardized ML workflows

Production DSaaS Solutions:

• Inspection Optimizer - Advanced statistical analysis to optimize field inspections for 60+ water utilities across USA. Optimizes number and location of field verifications for Lead and Copper Rule Revisions (LCRR) compliance. Deployed as freemium and paid versions.

• LeadCAST Predict - End-to-end machine learning solution to predict water service lines’ materials across 45+ water utilities. Production ML models for regulatory compliance with LCRR requirements.

• LeadCAST Service Line Replacement - ML-driven optimization for lead service line replacement programs. Prioritizes replacement activities based on risk assessment and resource constraints.

• Water Main Failure Prediction - Predictive analytics for pipe-break forecasting in water distribution networks. Enables proactive maintenance and reduces infrastructure failures.

• Blockage Detection - ML solution for detecting blockages in sewer systems. Real-time monitoring and anomaly detection for wastewater infrastructure.

• Water Pipe Replacement Optimization - Data-driven planning for water pipe replacement programs. Balances risk, budget, and operational constraints.