12/19/2024 updated


100 % available
Machine Learning Engineer with PhD in Computer Science
Leuven, Belgium
Worldwide
PhD in Computer ScienceJava (Programming Language)Artificial IntelligenceData AnalysisCloud ComputingDatabasesDevOpsDistributed SystemsEmbedded CPython (Programming Language)LaTeXMachine LearningMongoDBPredictive MaintenanceTensorFlowRemote Monitoring
Machine Learning and AI
Expertise in developing and deploying ML/AI models for edge and cloud applications, with experience in remote monitoring and predictive maintenance.
Distributed Systems
Proficiency in resource-constrained distributed ML/AI applications across the edge-cloud continuum, developing efficient real-world solutions.
IoT Solutions
Experience in building end-to-end IoT solutions for academia and industry, including IoT gateways and federated learning applications.
Programming Languages
Proficiency in Python, Embedded C, and Java for various software development tasks.
ML/AI Frameworks
Expertise in PyTorch, TensorFlow, Keras, TinyML, and TorchServe for implementing machine learning models.
Data Analytics
Skills in using Pandas, SciPy, Seaborn, Matplotlib, Apache Kafka, and Flink for data analysis and processing.
Databases
Knowledge of SQL and MongoDB for data storage and management.
Cloud and DevOps
Experience with Docker, AWS IoT, Git, and LATEX for development and deployment processes.
Expertise in developing and deploying ML/AI models for edge and cloud applications, with experience in remote monitoring and predictive maintenance.
Distributed Systems
Proficiency in resource-constrained distributed ML/AI applications across the edge-cloud continuum, developing efficient real-world solutions.
IoT Solutions
Experience in building end-to-end IoT solutions for academia and industry, including IoT gateways and federated learning applications.
Programming Languages
Proficiency in Python, Embedded C, and Java for various software development tasks.
ML/AI Frameworks
Expertise in PyTorch, TensorFlow, Keras, TinyML, and TorchServe for implementing machine learning models.
Data Analytics
Skills in using Pandas, SciPy, Seaborn, Matplotlib, Apache Kafka, and Flink for data analysis and processing.
Databases
Knowledge of SQL and MongoDB for data storage and management.
Cloud and DevOps
Experience with Docker, AWS IoT, Git, and LATEX for development and deployment processes.
Experience
Professional experience5 - 10 years
Freelancer since2023
Languages
EnglishNative speakerItalianFluentDutchGood
Project history
Conducting post-doctoral research in Antwerp, Belgium.
Conducted PhD research in Computer Science at KU Leuven, Belgium.
Worked as a Research Intern in Eindhoven, NL and Shanghai, CN.