Java, Terraform, Prometheus, Spring Boot, Microsoft Azure, Kotlin, Grafana, Datadog, AWS, Confluent Kafka, OpenTelemetry

.Net Core, .NET Framework 3.5–4.8, Nunit, Aws Lambda, Azure Functions, Xss, Docker, taint analysis, deserialization, Cake Build, CLR Profiling API, OWIN, CSRF, GitLab CI, GRPC, SQLi

Gatling, Agile Scrum, Typescript, Jmeter, Javascript, Automation Frameworks, Performance Testing, Python, AWS, Java, Regression Testing, Jenkins, Gcp, Azure, CI CD workflows, Model integration, GitHub Actions, Data validation testing, CircleCI, k6, GitLab CI, Analytics pipelines, AI ML workflows, AI tools for automation

JIRA, C, Linux, Gitlab, Qnx, Android, Python, Confluence, Android BSP drivers, audio IPs, ISO26262, automotive technologies, display and graphics IPs, Autosar, Embedded Android system software development

AWS, Java, Python, Kubernetes, Jenkins, Go, monitoring observability tools, ArgoCD, IaC, Spinnaker, test automation frameworks, CI CD pipelines

Aws Lambda, Amazon S3, Node.js, Amazon CloudWatch, Rest API Development, Terraform, AWS IAM, AWS IoT Core, Infrastructure as Code, AWS CDK, Amazon API Gateway, AWS cloud services, Amazon SNS, AWS Cloud Formation, test-driven development, AWS IoT Device Management, CI CD pipelines

Java, Python, Go, multi-agent orchestration, RAG and retrieval patterns, planning loops, memory and failure recovery

pruning , containerization , Java, Tensorflow, Pytorch, Gcp, Distributed Systems, AWS, Python, Kubernetes, Azure, Cloud Infrastructure, Docker, model serving, Airflow, streaming technologies, h.264, model optimization techniques, quantization, efficient inference, video processing pipelines, inference optimization, MLOps tools, MLflow, Kubeflow, codec standards, HEVC, data pipelines, machine learning systems architecture, AV1, knowledge distillation