Principal | Lead Data Scientist
Ph.D., Artificial Intelligence
AIGP Certified
Core Capabilities:
• Strategic Leadership
• Production Excellence
• AI Governance (AIGP)
• Technical Innovation
Email | Scholar | LinkedIn | Github | CV
Shervin’s Portfolio
Senior AI leader bridging technical expertise with business strategy to build trustworthy AI systems at scale. Leading and mentoring team of 4+ data scientists and AI engineers while orchestrating cross-functional initiatives across Product, Engineering, and MLOps—delivering governed production AI solutions across 65+ critical infrastructure clients.
Strategic Leadership & Team Development
- Leading and mentoring team of 4+ data scientists and AI engineers
- Cross-functional strategic planning and AI product roadmap
- Building trustworthy AI systems at scale with enterprise governance
Production Excellence & MLOps
- GCP Vertex AI platform architecture
- CI/CD pipelines (4-6 weeks → same-day deployment)
- End-to-end ML development standards
AI Governance & Risk Management
- AIGP-certified governance frameworks
- Enterprise controls & regulatory compliance
- Traceability, auditability, validation gates
Technical Innovation
- Multi-agent systems using Google Agent Development Kit
- SEAL 6 collaborative methodology
- Novel validation frameworks (tri-agent dialectic)
📗 Selected Publications & Thought Leadership
Damage detection for structural health monitoring using reinforcement and imitation learning.
Structure and Infrastructure Engineering, Taylor & Francis, 2024
Anomaly detection using state-space models and reinforcement learning.
Structural Control & Health Monitoring, Wiley & Sons, 2021
OpenBDLM: an open-source software for structural health monitoring using Bayesian dynamic linear models.
ICASPCE, South Korea, 2019
The application of data mining and cloud computing techniques in data-driven models for structural health monitoring.
SPIE, USA, 2016