Thesis: Convolutional Neural Networks for Hurricane Road Closure Probability and Tree Debris Estimation

Dissertation: Multi-scale Hurricane Loss Estimation

Thesis: Effective Stiffnesses of Plates of Repetitive Structure

Thesis: Dynamic Analysis of the Footbridge Considering Different Dampers Solutions

• Technical supervision and active development of all AI/ML projects in Spire.
• Lead and manage a team of 6 individuals that included machine learning engineers, applied scientists, and software engineers.
• Active model development, deployment, monitoring and testing of Spire machine learning products.
• Set development priorities and timelines, with a focus on developing solutions that directly support Spire’s core businesses, such as Space, Weather, Maritime, and Aviation.
• Interface with customers and stakeholders, providing insights into products and services.
• Collaborate with peers on the Executive Leadership Team (ELT) to develop and execute broad-scale business strategy.

• Developed Spire weather machine learning platform that includes components like infrastructure, deployment, monitoring, and verification.
• Developed machine learning capabilities for Spire space business including active training, predictions, and monitoring on Spire satellites on orbit.
• Mentored and supervised junior members of the machine learning team.

• Developed machine learning products for insurance and reinsurance industries.
• Developed machine learning pipelines for global weather data collection.
• Developed and maintained PostgreSQL database.
• Developed verification and monitoring systems for machine learning models.

• Developed machine learning algorithms for better data handling, damage detection, prognostics and damage classification.
• Develop innovative machine learning approaches that change the behavior of coastal businesses and/or residents so that they are more resilient when making decisions and taking actions in a risk-prone environment.

• Instructor for Programming II - introduction to C++course. This course introduces students to object-oriented programming, recursion, data structures, and basic search algorithms with the aim of expanding their programming skills.
• Instructor for Computer Engineering Graphics course. The course's objective was to introduce students to advanced computer science techniques for 3D modeling.