Davide Manniello
Senior Software Engineer at Parsec 3.26
Based in Rome, Italy
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Seniority
Staff
Department
Information Technology
Location
Rome
Industry
IT Services and IT Consulting
Company size
131
Contact information
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d•••••••@parsec326.it
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Background
About Davide Manniello
AI & Automation Specialist | Cloud Computing | Computer Vision | Data EngineeringExperienced professional with expertise in AI development, cloud computing, and automation for Unix and Windows systems. I specialize in creating scalable solutions that integrate advanced AI technologies, robust data engineering pipelines, and automated cloud infrastructure. Key Expertise Cloud & Automation- Designed and implemented cloud-based architectures using AWS, leveraging services like EC2, S3, RDS, Lambda, CloudFormation, IAM, DynamoDB, and Elasticsearch- Automated workflows for Unix and Windows systems with Ansible Automation Platform and Red Hat Ansible Tower, incorporating custom API scripting for efficient orchestration- Built CI/CD pipelines for deploying AI and automation solutions in cloud environments. AI & Computer Vision- Developed AI systems for medical imaging, including voxel-based pre-processing and segmentation of large CT scan datasets using MongoDB- Built neural networks such as U-Net, YOLO v4, and custom classifiers for applications in medical imaging and traffic monitoring. Data Engineering- Designed ETL/ELT pipelines using AWS Glue, Lambda, and S3 for seamless data ingestion, transformation, and storage- Leveraged Elasticsearch for indexing, analysis, and visualization, integrated with dashboards in Kibana and Grafana. Testing & Reliability- Advanced knowledge of tools like TensorBoard, scikit-learn, and MLflow for model evaluation- Implemented containerized environments with Docker for reproducibility and real-time monitoring with Grafana. Highlighted Projects- Cloud-Based Data Pipelines: Built ETL pipelines using AWS Glue, Lambda, and Redshift to support scalable data processing and real-time analytics- Lung Cancer Detection: Developed an AI-driven system for CT scan segmentation, nodule detection, and classification- Safemind Traffic Monitoring: Created cascaded neural networks for traffic analysis, integrating AWS services for deployment- Cloud Infrastructure Automation: Automated multi-environment deployment and management workflows for Unix and Windows systems on AWS and on-premises platforms.Combining deep expertise in AI, cloud architecture, and automation, I thrive in delivering innovative solutions to complex challenges. Connect with me to discuss opportunities in AI, cloud computing, or system automation.
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