Maria Daniela Leite De Souza
Research Scientist
Experience
Research Scientist
Intel Labs
- Designed and implemented AI-driven orchestration models for large-scale distributed systems.
- Developed Python and Go-based optimization pipelines to automate service placement across Kubernetes clusters.
- Worked on scalable data pipelines and production-ready model integration with serverless frameworks (intent-driven K8s operators).
- Contributed to the Horizon Europe VERGE project.
Ph.D. Research Intern
Huawei - Intelligent Cloud Technologies Lab
- Developed GNN-based heuristics to accelerate MILP solving for operations research problems on Huawei Cloud.
- Built end-to-end research prototype integrating ML and optimization in distributed settings.
Co-Founder and Chief Scientific Officer
Sealtech
- Developed deep learning models to forecast students dropout rates using engagement signals.
- Translated insights into early intervention strategies in online learning systems.
Industries Experience
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Experienced in Information Technology (4 years) and Education (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (4 years), Product Development (3 years), and Information Technology (1 year).
Summary
I am an Applied Scientist with expertise in network science, machine learning and optimization. I design and analyze graph models to forecast system-level dynamics and perform inference tasks in complex networks.
My work combines statistical modeling and optimal transport theory to produce reproducible and data-driven insights for decision-making.
Skills
Programming Languages And Frameworks
Python (Primary), C++, Go
Pytorch, Pytorch Geometric, Tensorflow, Scikit-learn
Infrastructure And Tools
Kubernetes (Helm, Operators), Docker, Cloud-edge Orchestration, Sql (Basic), Git
Machine Learning Specializations
Graph Neural Networks, Optimal Transport For Networks, Distributed Systems, Data Analysis
Experimentation & Analysis
Networkx, Pymc, Mlflow, Bayesian Modeling, Simulation Design
Soft Skills
Project Management, Collaborative Problem-solving, Communication, Leadership, Initiative
Languages
Education
Max Planck Institute for Intelligent Systems
PhD in Computer Science/Machine Learning · Computer Science/Machine Learning · Tübingen, Germany · Magna Cum Laude
Brazilian Center for Research in Physics
Physics/Theoretical Physics · Physics/Theoretical Physics · Rio de Janeiro, Brazil
Regional University of Cariri
Physics · Physics · Brazil · GPA: 9.6/10
Profile
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