Continuous Integration, Logging, Automated Testing, context-engineering strategies, data pipelines, tracing, production-quality systems, Monitoring, retrieval systems, observability systems, AI agents, agent infrastructure, ML systems, evaluation frameworks for AI systems

.Net Core, Prometheus, Grafana, React Js, Tdd, Typescript, Oracle, Python, AWS, Github, Graphql, AWS Aurora, Node.js, Api Development, Devops, REST, Postgressql, DevSecOps, Github Actions, Microservices Architecture, Next.js, BIAN architecture, Cline, GitHub Copilot, Secure Coding Practices, Observe, AI Powered Engineering tools

Java, Sql, Nosql, Gcp, Docker, Distributed Systems, Rest Apis, Azure, Kubernetes, Python, AWS, Multi-threading and concurrency, Event-driven systems, Microservices architecture, Large-scale data processing, CI CD pipelines, Observability tools

Java, Couchdb, PostgreSQL, Sql, Redis, Angular, Nosql, React, Typescript, Javascript, Terraform, Oracle, Kubernetes, Python, AWS, serverless architectures

Java, Github, Maven, Eclipse, Ant, Cursor, Sql, Redis, Google Cloud, Intellij, Microservices, Elasticsearch, Git, REST, JUnit, Docker, Gitlab, Azure, Kubernetes, Spring Framework, AWS, My Eclipse IDE, Amazon Q

Coding, Azure Database, Devops

Elk, Prometheus, Kafka, API design, Grafana, Nosql, JUnit, Docker, Swagger, Python, AWS, Java, Redis, Sql, Memcached, TestNG, Rabbitmq, Jenkins, REST, Gcp, Azure, Kubernetes, Go, api documentation, GRPC, Pub Sub, OpenTelemetry, EFK stack, GitLab CI, microservices architecture, OpenAPI

telemetry , Ras, Ci, System Software, Firmware Development, Bmc, Virtualization, power management, Diagnostics, Infra-scale platforms, testing strategies, Debug, release considerations