Versatile engineer, currently working across the software, devops, and deep learning domains. Proficient at front-end development, back-end development, cloud ops, and infrastructure automation, with a keen eye for efficiency, performance, and scalability. Michael has led roles across multiple specializations, and has garnered a comprehensive coverage of experience. Used Languages: C#, Golang, Python, Java, TypeScript, JavaScript, Bash/Shell, Groovy, PHP. Frameworks: ASP.NET Core, Springboot, Java EE, Angular CLI, Blazor, React, VueJs, Ionic, SASS, Bootstrap. IaC/Test Automation Terraform, ArgoCD, Junit, Mockito, Jasmine, Karma, XUnit, NUnit, PyTest, Jest. Web Servers: Tomcat, IIS, Nginx. Container/Orchestration Technology: Docker, Kubernetes, Docker Swarm, GKE, Flagger, Istio, Ambassador, Helm Charts. Version control: Github, GitLab, Azure Repos. Scripting: Bash, Python, GoLang. CI/CD: Azure Pipelines, Jenkins, Github Actions, GCP Cloud Build. Databases: Mssql, Mysql, MongoDB, Redis, ElasticSearch, Apache Solr. Cloud Infrastructure: Amazon Web Services | Microsoft Azure | Google Cloud Platform. Observability, Monitoring: Grafana, Datadog, Prometheus. Deep Learning: TensorFlow, Numpy.
I'm motivated by helping others unlock leverage—through systems thinking, clear problem-solving, and effective use of emerging tools. As a well-rounded software engineer and DevOps expert, I bring both technical depth and real-world experience building and scaling systems. I focus on teaching others how to 10x their productivity using LLMs/AI, and I aim to help them think more clearly, act more strategically, and build with lasting impact.