12/10/2024 updated
100 % available
Machine Learning Engineer with Expertise in API Development and Computer Vision
Den Haag, Netherlands
Worldwide
Bachelor of Science - Computer ScienceArtificial IntelligenceData AnalysisComputer VisionDatabasesDevOpsWeb DevelopmentElectromagnetismImage ProcessingPython (Programming Language)Machine LearningNatural Language ProcessingNode.jsTensorFlowTestingGoogle Cloud
Machine Learning
Extensive experience in training, tuning, and deploying various model architectures including deep learning models (ResNets, CNNs, R-CNNs) and traditional ML models (XGBoost and Random Forests).
API Development
Proficiency in developing AI assistants and natural language processing capabilities, utilizing vector databases and cloud platforms like Google Cloud.
Computer Vision
Skilled in training and testing convolutional neural networks for image processing, with experience in deploying models for real-world applications.
Programming Languages
Deep proficiency in Python utilizing the frameworks Pytorch, Keras, TensorFlow, and SKLearn for machine learning development. Experience with functional programming languages like Haskell and Erlang.
DevOps & Containerization
Extensive experience with containerization using Docker and Docker Compose. Familiarity with deployment frameworks including Triton Inference Server and BentoML.
Data Analysis
Proficiency in exploratory data analysis and feature extraction from complex datasets, including electromagnetic field data.
Extensive experience in training, tuning, and deploying various model architectures including deep learning models (ResNets, CNNs, R-CNNs) and traditional ML models (XGBoost and Random Forests).
API Development
Proficiency in developing AI assistants and natural language processing capabilities, utilizing vector databases and cloud platforms like Google Cloud.
Computer Vision
Skilled in training and testing convolutional neural networks for image processing, with experience in deploying models for real-world applications.
Programming Languages
Deep proficiency in Python utilizing the frameworks Pytorch, Keras, TensorFlow, and SKLearn for machine learning development. Experience with functional programming languages like Haskell and Erlang.
DevOps & Containerization
Extensive experience with containerization using Docker and Docker Compose. Familiarity with deployment frameworks including Triton Inference Server and BentoML.
Data Analysis
Proficiency in exploratory data analysis and feature extraction from complex datasets, including electromagnetic field data.
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
EnglishNative speaker
Project history
Leading efforts to add AI and natural language capabilities to Refoundry, an interactive WordPress plugin. Designing and implementing an AI assistant using vector databases and Google Cloud Platform.
Led development of classification and localization models for weapon detection from electromagnetic field data. Developed microservice-based platform for model deployment and improved ML pipeline with MLFlow and BentoML integration.
Trained and deployed models for weapon detection from electromagnetic field data. Performed exploratory data analysis and feature extraction.