Maria daniela L.
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.
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
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