12/18/2024 updated
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Machine Learning Engineer
USA Computer Science with focus on Machine Learning
Application Programming Interfaces (APIs)Artificial IntelligenceArtificial Neural NetworksMicrosoft AzureCloud ComputingDatabasesData ModelingData QualityDevOpsImage ProcessingInfrastructure ManagementPython (Programming Language)PostgreSQLMachine LearningMongoDB
Machine Learning and AI
Expertise in designing neural networks (CNN) for the medical domain, working with generative models (GANs), and developing AI products from scratch.
Cloud Technologies
Proficiency in cloud platforms like Azure and Kubernetes, deploying AI models into production environments.
Software Development
Experience in developing backend services using Python, integrating various databases, and contributing to open-source packages.
Data Processing and Analysis
Skills in data quality checks, medical image segmentation, and object detection using TensorFlow and PyTorch.
DevOps
Capability in handling DevOps and MLOps tasks, including designing Kubernetes infrastructure and optimizing node sizes.
Database Management
Proficiency in integrating and managing various databases including MySQL, PostgreSQL, MongoDB, and Big Query.
API Development
Experience in dynamic API generation from existing data models and GPT-3 (LLM) integration for platform control.
Expertise in designing neural networks (CNN) for the medical domain, working with generative models (GANs), and developing AI products from scratch.
Cloud Technologies
Proficiency in cloud platforms like Azure and Kubernetes, deploying AI models into production environments.
Software Development
Experience in developing backend services using Python, integrating various databases, and contributing to open-source packages.
Data Processing and Analysis
Skills in data quality checks, medical image segmentation, and object detection using TensorFlow and PyTorch.
DevOps
Capability in handling DevOps and MLOps tasks, including designing Kubernetes infrastructure and optimizing node sizes.
Database Management
Proficiency in integrating and managing various databases including MySQL, PostgreSQL, MongoDB, and Big Query.
API Development
Experience in dynamic API generation from existing data models and GPT-3 (LLM) integration for platform control.
Languages
CzechNative speaker
Project history
Translating scientific research into real-world AI solutions for neurodegenerative diseases prediction. Building AI products from scratch, developing machine learning models for medical applications, and leading AI projects.
Developed backend services in Python using FastAPI, implemented GPT-3 integration, created dynamic APIs, and worked on database integrations and migrations.