18.10.2026 aktualisiert
100 % verfügbar
Healthcare AI Engineer & Workflow Automation Specialist
Shiraz, Iran
Nur Remote
M.Sc., Applied Physics – University of Kordestan, Iran, 2014Skills
Machine LearningTensorFlowWorkflowsRichtlinie für MedizinprodukteMachine Learning Operations
AI & Machine Learning
Expertise in building LLM-based autonomous agents, implementing ML models for various domains, and working with frameworks such as Python, TensorFlow, scikit-learn, LangChain, CrewAI, and RAG.
Workflow Automation
Proficiency in designing and testing n8n workflows, integrating third-party applications, and building AI-powered event-driven automations by connecting n8n with LLMs and AI tools.
Medical Imaging
Extensive hands-on experience with Radiography, OPG, CBCT, CT-Scan, QC testing, PACS, RIS, and DICOM systems, including installation, maintenance, and quality control of over 300 X-ray devices.
Healthcare AI & Automation
Application of LLM agents, REST APIs, custom webhooks, data extraction and analysis, and image processing pipelines in healthcare and bioinformatics contexts.
Cloud & Deployment
Hands-on experience with AWS services including S3, Lambda, SageMaker, EC2, and ECS, as well as Docker and GitHub Actions for containerized and automated deployments.
Backend & ML Pipeline Engineering
Development and deployment of end-to-end ML pipelines using Python, AWS S3, and containerized services, including precision agriculture and yield prediction models.
Bioinformatics & Data Analysis
Application of AI methods to bioinformatics, designing pipelines for data extraction and analysis in domain-specific reasoning tasks.
Certifications & Training
Completion of certifications including Python Programming and Object-Oriented Thinking, AWS Certified AI Practitioner, AWS Cloud Practitioner Essentials, and Workflow Automation in n8n.
Expertise in building LLM-based autonomous agents, implementing ML models for various domains, and working with frameworks such as Python, TensorFlow, scikit-learn, LangChain, CrewAI, and RAG.
Workflow Automation
Proficiency in designing and testing n8n workflows, integrating third-party applications, and building AI-powered event-driven automations by connecting n8n with LLMs and AI tools.
Medical Imaging
Extensive hands-on experience with Radiography, OPG, CBCT, CT-Scan, QC testing, PACS, RIS, and DICOM systems, including installation, maintenance, and quality control of over 300 X-ray devices.
Healthcare AI & Automation
Application of LLM agents, REST APIs, custom webhooks, data extraction and analysis, and image processing pipelines in healthcare and bioinformatics contexts.
Cloud & Deployment
Hands-on experience with AWS services including S3, Lambda, SageMaker, EC2, and ECS, as well as Docker and GitHub Actions for containerized and automated deployments.
Backend & ML Pipeline Engineering
Development and deployment of end-to-end ML pipelines using Python, AWS S3, and containerized services, including precision agriculture and yield prediction models.
Bioinformatics & Data Analysis
Application of AI methods to bioinformatics, designing pipelines for data extraction and analysis in domain-specific reasoning tasks.
Certifications & Training
Completion of certifications including Python Programming and Object-Oriented Thinking, AWS Certified AI Practitioner, AWS Cloud Practitioner Essentials, and Workflow Automation in n8n.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2024
Sprachen
EnglishgutPersianMutterspracheKurdishMuttersprache
Projekthistorie
Design and test n8n workflows integrating third-party applications. Build AI-powered, event-driven automations by connecting n8n with LLMs and AI tools. Develop and document practical automation projects, with examples and files available on GitHub.
Built LLM-based autonomous agents for workflow automation and domain-specific reasoning tasks. Applied AI methods to bioinformatics, designing pipelines for data extraction and analysis.
Implemented ML models for precision agriculture and yield prediction. Deployed end-to-end ML pipelines using Python, AWS S3, and containerized services.