Ashtad Javanmardi, Ph.D. Email & Phone Number

Raleigh, Nc, Us

Raleigh, North Carolina, United States

● Guided and mentored a team of data scientists in mastering the MLOps lifecycle, from project initiation and data collection to model deployment and maintenance, enhancing workflow efficiency and model performance.● Partnered with Product Managers to seamlessly integrate AI/ML technologies across departments, leading to significant improvements in product performance and the development of innovative solutions.

Raleigh, North Carolina, United States

● Pioneered the creation and implementation of sophisticated ML/AI solutions for Non-Destructive Testing (NDT) and Structural Health Monitoring (SHM), leveraging state-of-the-art algorithms derived from academic research.● Developed and implemented clear, quantifiable performance metrics for ML/AI products, enabling effective communication of their efficacy to both current and potential clients.● Contributed to the development of the company's intellectual property by drafting and reviewing sections related to ML/AI workflows in patent applications.

Raleigh-Durham, North Carolina Area

● Developed machine learning model pipelines for specialized industrial applications, predicting buried foundation thicknesses and bolt axial stress in pre-tensioned bolts using ultrasonic signal data.● Collaborated with software engineering teams to enhance the deployment efficiency and speed of ML models, utilizing FastAPI and Docker for stateful model execution.● Documented ML/AI pipeline product requirements using Confluence, ensuring clarity and accessibility for project stakeholders.

Raleigh-Durham, North Carolina Area

Raleigh, Usa

● Built a Random Forest machine learning model to find how the experience of delay impacts managers’ tendency for future making-do decisions.● Identified and compared factors contributing to project task starting time and duration delay in China vs. the U.S. using Explanatory Factor Analysis.● Developed a methodology using information theory and K-means clustering to improve constraint removal effectiveness at planning meetings.● Designed a Discrete Event Simulation (DES) model and utilized game theory to quantify the benefit of high-reliable planning and its effects on project performance.● Development of a multi-objective optimization model for project scheduling using No-dominated Sorting Genetic Algorithm II (NSGA II)● Conducted Social Network Analysis (SN) to find the relationship between construction trades’ “social capital” and their plan performance

Doctor Of Philosophy (Ph.D.), Construction Engineering & Management

Master'S Degree, Construction Engineering & Management, A

• Thesis: Scheduling Optimization in Construction Projects under Resource Constraints

Bachelor'S Degree, Civil Engineering