Mauricio Fadel Argerich
Verified Expert in Engineering
Machine Learning Scientist and Developer
Heidelberg, Baden-Württemberg, Germany
Toptal member since April 23, 2021
Mauricio is a machine learning (ML) scientist and software engineer with 10 years of experience in the tech industry. He's worked on projects related to ML methods and their application to IoT, published in AI and ML journals and conferences, and filed patents in the EU and US. Mauricio is skilled in various APIs, scikit-learn and pandas libraries, and many programming languages, such as Python, SQL, Objective-C, and Java, enabling him to easily implement prototypes and production-ready systems.
Portfolio
Experience
- Data Science - 6 years
- Jupyter Notebook - 6 years
- Machine Learning - 6 years
- Python - 6 years
- Scikit-learn - 5 years
- NumPy - 5 years
- Reinforcement Learning - 4 years
- TensorFlow - 3 years
Preferred Environment
Python, Scikit-learn, TensorFlow, Pandas, Jupyter Notebook, Docker, Reinforcement Learning, Artificial Intelligence (AI), PyTorch, Hugging Face
The most amazing...
...project I've worked on was developing an ML approach to adapt and deploy cloud and edge applications, which optimized their performance while saving resources.
Work Experience
Applied Researcher
German Edge Cloud
- Served as the project manager in an internal project to develop a tool to analyze applications' logs using ML to detect incidents and their root causes.
- Contributed to defining the company's patenting process and filing GEC's first patent in Germany.
- Developed an approach to monitor the energy consumption of software, particularly ML-based applications, obtaining insights for CPU, GPU, memory, and disk.
Research Scientist, ML for IoT
NEC Laboratories Europe
- Created an approach that used reinforcement learning (RL) to automatically adapt edge/cloud apps and implemented it into a component of the Big Data Stack platform, which was recently selected by the EU Commission to be in the EU Innovation Radar.
- Worked in a team of five researchers and a software engineer in the development of seven publications related to machine learning methods and their application to IoT scenarios such as mobility, ontology alignment, and edge/cloud orchestration.
- Filed four patents related to machine learning (ML) methods and applications in the EU, the US, and Japan.
iOS Software Engineer
Freelance Clients
- Developed an iOS application called Fixture 2014, a World Cup scorer that reached number one in the Argentinian and Uruguayan App Stores sports category.
- Delivered different iOS—iPhone and iPad—applications for digital offer catalogs for shopping malls and digital menus for restaurants.
- Developed an iOS application called Filtred, the first to offer users the ability to create user-defined photo filters.
iOS Software Engineer
BizIT Global
- Worked as part of a distributed team (Canada and Argentina) of around eight software engineers and product owners—delivering new features and customization of multiple VoIP iOS applications for large enterprise clients in Canada, Italy, and Turkey.
- Tracked and fixed issues of multiple iOS applications using Jira, Git, and Bamboo.
- Led the estimation and planning of development tasks for mobile applications.
Software Engineering Intern
Fabrica Argentina de Aviones S.A.
- Developed the corrective action system for the quality assurance department, used to track aircrafts' manufacturing issues and their respective correction.
- Contributed towards the implementation of the SynchroDB, a system to automatically maintain the integrity of the different database systems used in the factory.
- Delivered introductory courses for the use of the corrective action system for personnel of different departments such as QA, manufacturing, and so on.
Experience
Dynamic Orchestrator
https://bigdatastack.eu/content/dynamic-orchestratorI developed the hybrid approach that uses reinforcement learning (RL) combined with heuristics for achieving a robust and flexible decision mechanism. I also worked on the implementation of this component that is currently open-sourced. This component was recently selected as an excellent innovation by the EU Commission and will be featured in the EU Innovation Radar.
Adaptive Applications Simulator
https://github.com/maufadel/AdASFixture 2014
I developed the iOS application as well as the back-end REST web service.
Education
PhD in Software, Systems and Computing
Universidad Politécnica de Madrid - Madrid, Spain
Master's Degree in Data Science
La Sapienza, University of Rome - Rome, Italy
Engineer's Degree in Information Systems
Universidad Tecnologica Nacional - Cordoba, Argentina
Skills
Libraries/APIs
Scikit-learn, Pandas, TensorFlow, NumPy, Keras, TensorFlow Deep Learning Library (TFLearn), PyTorch
Tools
RabbitMQ
Languages
Python, SQL, Objective-C, Java, C#
Platforms
Jupyter Notebook, Docker, Kubernetes, Oracle, OpenShift
Storage
DB, MySQL
Paradigms
REST
Other
Reinforcement Learning, Data Science, Machine Learning, Software Engineering, Software Development, Deep Learning, Information Technology, Artificial Intelligence (AI), System Design, Research, Presentations, Creativity, Statistical Modeling, Information Retrieval, VoIP, Aerospace & Defense, Hugging Face, Software, Green Energy, Sustainability, Edge Computing, Computer Vision
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