Java, Gcp, Python, AWS, AI tools, DevOps practices, CI CD pipelines, Go, monitoring observability tools

Java, Gcp, Python, AWS, AI tools, DevOps practices, CI CD pipelines, Go, monitoring observability tools

Java, Gcp, Python, AWS, AI tools, DevOps practices, CI CD pipelines, Go, monitoring observability tools

cmis , C, Gdb, Spi, Pcie, I2c, Python, Ml, multi-threading, C++, Uart, Gpio, open-source tools, Layer 2/3 network protocols, hardware and device driver development, Optical Networking, QSFP, Linux hardware bring-up, Embedded Systems, secure-boot, state machine implementation, event handling, network processors, SFP, SFF standards, Ai, kernel debugging tools, KGDB

Ml, MLops, Anthropic Claude, GenAI, AWS Bedrock, Ai, Azure AI, Google Vertex, Llm

Cloud financial management (FinOps), Red Hat OpenShift Service on AWS (ROSA), Platform-as-a-Service (PaaS), Cloud Infrastructure, Terraform, Cloudformation, Devops, Kubernetes, Infrastructure as Code, GitOps, AWS cloud services, Agile delivery principles, LangGraph, Cost optimization initiatives, Prompt engineering principles, RAG architectures, LangChain, Multi-agent orchestration patterns, AWS Strands, AWS Certified DevOps Engineer – Professional, Platform engineering, Google ADK, AWS Certified Solutions Architect – Professional, CI/CD platforms

Gcp, Apis, Azure, Microservices, engineering best practices, cloud platforms AWS, Agile delivery models, AI-driven engineering practices, modern architecture patterns, platform modernization initiatives