Results-oriented senior Network and Cloud Engineer with 14+ years experience supporting business-critical infrastructure for multifaceted organizations. Motivated and analytical, with a natural ability for troubleshooting issues that meet requirements and exceed company and customer goals. Proven success in the design and administration of cloud networking solutions and data pipeline infrastructures which significantly improve operating stability and efficiency. Effective communicator and cross-functional collaborator who bridges the gap in understanding between technical and non-technical stakeholders. A.I, Data Science and Research: Conduct independent research into Machine Learning and Artificial Intelligence as well as other advanced technology topics such as BCI. My Ideal job would be an MLOps position since that builds on my previous experience supporting business critical data infrastructures. From my own original project initiatives I've become highly proficient at data pipeline development and maintenance within the CI/CD life cycle framework including: data preprocessing, feature engineering, model development [-training -testing - evaluation], pipeline deployment and endpoint serving: Expertise include, Cloud Engineering, Statistical Mechanics and Modeling, Neural Information Theory, Python Coding, SQL, Data Engineering, Regression, Classification, Reinforcement Learning, Time Series Forecasting, Computer Vision, LLMs and Generative A.I. Core competencies include: Kubeflow | Vertex A.I | Sage Maker | ML BigQuery | Auto ML | Custom Model development | Python SDK libraries | ML Pipeline Infrastructure | BGP ǀ MPLS ǀ VPLS ǀ SD-WAN ǀ MPEG4 ǀ H.264 ǀ Metro-Ethernet ǀ PCAP - Wireshark | IPsec VPNs | Software Defined Network | AWS Cloud | Elastic Compute - EC2 | Athena-SQL | DynamoDB | Elasticache | Lambda Function | Elastic MapReduce (EMR) | EKS | Cloud Security | VPC-Network | NGFWs | WAFs | OSPFv3 | IPv6 / IPv4 ǀ Kubernetes ǀ Istio Service Mesh | Docker | Pod Networking | VXLANS ǀ Cloud Logs | DNS | DHCP ǀ SLAs ǀ HSRP ǀ NAT | Python | NodeJS | TensorFlow | Keras | R | PyTorch | Pandas | NumPy | Matplotlib | Seaborn | Scikit-learn | Linear Regression | Logistic Regression | Gradient Descent | Neural Networks | Deep Learning | Machine Learning | RNNs | CNNs | SQL (Structured Query Language) | JavaScript | Ansible | Terraform | Jupyter Notebooks