Enterprise Architecture, Microservices, Scalability, Solution Architecture, Apis, DevSecOps, Data Analytics, Performance, Kubernetes, Deployment strategies, GenAI, Infrastructure as Code, Container platforms, CI CD, Security, Cloud-native architectures, Governance practices, Modern application design patterns, Disaster Recovery, Multi-cloud, Non-functional requirements, Cloud platforms, Availability, Ai, Enterprise architecture frameworks, Integration architectures, Distributed system architectures, Intelligent automation platforms

process mining , Ibm Watson, MLops, Claude, Business Process Mapping, MCP agent orchestration, GenAI platforms, LLM architecture, Cloud API-first, Azure AI Copilot, GenAI architecture, Google Vertex AI, LangChain, IT enterprise architecture, CrewAI, AI architecture, prompt engineering, AutoGen, RAG observability, cloud AI platforms, AI governance, Responsible AI, Gemini, Amazon Bedrock

Cloudformation, PowerShell, Prometheus, Elk Stack, Bash, Pulumi, Grafana, Git, Gcp, Terraform, Docker, Splunk, Kubernetes, Python, AWS, Harness

secure coding , Typescript, Node.js, Automated Testing, data pipelines, analytics platforms, scalable distributed systems, AI-enabled features, cloud-native applications, AI-powered workflows, observability

Java, Text Analytics, Spring Boot, Kotlin, Docker, Kubernetes, AWS, data pipelines, CI CD, Content Moderation, cloud-native design, Caching, architectural design patterns, microservices architecture, database platforms, machine learning integration

.NET, Nlp, Typescript, Python, Cloud AI services, API-based AI integration, Object-oriented design, Machine Learning fundamentals, CI CD technologies, Generative AI LLMs, Deep Learning basics, MLOps concepts

Github, Node.js, Css3, Git, Vue.JS, Html5, MySQL, leadership in scaling engineering organizations, Hiring, account growth, Career Development, pre-sales scoping, system architecture design principles, microservices architecture, Estimation, people leadership, performance management