Terraform, Spark, Python, Kubernetes, Sql, Containers, Databricks Asset Bundles, Cloud storage integrations, Model deployment, Feature engineering workflows, MLflow model registry, Production ML operations, Workflow orchestration, Distributed processing workloads, Observability practices, Operational monitoring tools, Experiment tracking, Model-serving patterns, Databricks workspaces, Git-based CI/CD

C, Bash, Artifactory, Jira, Jenkins, Git, Linux, Python, Oscilloscopes, GNU toolchain, schematics and PCB layout, mixed signal knowledge, DMMs

.NET, triton , Ansible, Kvm, Nim, Kubernetes, Python, DGX systems, TAO, Run AI platform, Redfish, Microk8s, VMWare EXSi, Helm Charts, Jetson, RedHat OpenShift, NVIDIA AI Enterprise components, Nucleus Servers, nemo, Azure Kubernetes Service

.NET, Automation Frameworks, Apis, Pytest, Python, Kubernetes, Microservices

Oauth, Java, Saml, Kafka, Redis, Okta, Elasticsearch, Postgres, Azure, Kubernetes, AWS, Druid

software design patterns , Algorithms, Cassandra, Rest Api, JUnit, MySQL, Postgres, data structures, Ruby, Python, AWS EKS, Java, Spring, Springboot, Mockito, Spark, MongoDB, Kubernetes, Airflow, Project Reactor, Go, Flink, GCP GKE, OOP principles, Spring Webflux, reactive programming, Azure AKS