19.12.2024 aktualisiert
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Machine Learning Engineer with PhD in Computer Science
Leuven, Belgien
Weltweit
PhD in Computer ScienceSkills
JavaKünstliche IntelligenzData AnalysisCloud ComputingDatenbankenDevopsDistributed ComputingEmbedded C++PythonLatexMachine LearningMongodbVorbeugende InstandhaltungTensorflowFernüberwachungScipySoftwareentwicklungSQLDatenspeichertechnologienPytorchInternet Of ThingsKerasGitPandasMatplotlibApache FlinkApache KafkaAws IotDockerProgramming Languages
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.
Sprachen
EnglishMutterspracheItalianverhandlungssicherDutchgut
Projekthistorie
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.