Jose E. Morales M, Ph.D. Email and Phone Number

Key contributor in defense projects, specializing in the development and optimization of advanced reinforcement learning algorithms for autonomous systems.● Managed all stages of developing an autonomous AI system for defense applications, from setup to deployment.● Trained AI agents using industrial grade reinforcement learning frameworks (Ray RLlib).● Created scalable reinforcement learning environments for autonomous system training.● Developed and delivered interfaces to facilitate seamless integration and deployment of trained models into client platforms.● Developed communication interfaces to connect client simulators with the reinforcement learning environment.● Translated client project needs into precise technical specifications for AI driven solutions.

Architected, developped and integrated scalable AIOps Services to intelligently automate IT infrastructure Support across large-scale datacenters for different clients at Capgemini Cloud Infrastructure Services.● Served as the technical leader of the AIOps team, guiding and mentoring developers to achieve technical excellence and drive successful AIOps product development.● Developed AIOps services with a microservices architecture, enabling a scalable and modular system design.● Contributed to product demonstrations showcasing AIOps services and proof of concepts for stakeholders and clients.● Trained machine learning models for NLP tasks and integrated into AIOps services.● Researched and fined-tuned generative AI language models to standardize and transform IT support documentation.● Developed robust API services in Python using OpenAPI, and managed deployments with Kubernetes, Helm, and Docker for optimal scalability.● Developed data pipelines using Python, Prefect, Kafka, and Dask, ensuring seamless and reliable data flow across systems.

● Developed and implemented IT infrastructure services using Infrastructure as Code (IaC) for the automation, deployment, backup, and management of virtual infrastructure in large-scale datacenters.● Provided production-level support for IT infrastructure operations.

Applied advanced mathematical modeling techniques to tackle complex quantitative problems, developing and optimizing numerical algorithms using Python and Matlab for high-precision simulations.● Developed and optimized numerical simulations for various applications, focusing on improving performance and accuracy in quantitative analysis.● Coded and implemented complex algorithms, supporting tasks such as statistical modeling, data analysis, and forecasting.

Data Scientist for General Electric in the Aeronautical Sector.● Conducted statistical analysis to forecast performance metrics and assess reliability of CFM56 engines (General Electric and Safran).● Established reliability performance benchmarks for CFM56 engines.● Optimisation of workflow processes using Six Sigma Methods