Seyed Mohammad Parvasi

WORK HISTORY

EDUCATION

SKILLS

ABOUT SEYED MOHAMMAD PARVASI

As the Director of Data Science at AssetWatch, I lead both the vision and execution of AI-driven predictive maintenance and operational intelligence. My role spans strategic decision-making, model development strategy, and architectural planning supporting both equipment reliability (e.g, fault detection, RUL prediction) and internal operational efficiency (e.g, automation with LLMs and intelligent assistants).I oversee the development of AI/ML pipelines that extend from raw sensor ingestion to real-time model inference via API endpoints. Our infrastructure enables robust MLOps and LLMOps workflows covering model training, CI/CD, A/B testing, performance monitoring, and seamless integration into customer-facing web and mobile applications. My team is composed of ML, MLOps and Data Engineers to ensure seamless transitions from innovation to production.Our models power a wide spectrum of use cases: fault classification, anomaly detection, customer churn and expansion analytics, workflow optimization, hardware lifespan prediction, and AI assistant chatbots. We leverage multi-modal systems that use time-series, tabular, text, image, and voice data to deliver measurable business outcomes.Previously, I served as a Senior Applied Machine Learning Scientist at CognitiveScale, where I developed explainable AI systems for HIPAA-compliant healthcare data and financial risk analytics—delivering high-stakes decision support tools.With a Ph.D. in Engineering and over ten years of experience in applied AI and data science leadership, I\'ve authored +10 peer-reviewed publications, filed patents, and mentored AI/ML talent through academic and professional programs.