.NET, Ml, Paas, Restful Api, Microservices, Angular, React, Azure, Azure DevOps, AI orchestration frameworks, GenAI, LLMs, event-driven systems, Ai, IaC, prompt engineering, GitHub Actions, enterprise integration patterns, RAG architectures

react.js , Vue.JS, Typescript, Node.js, API design, AI tools, microservices architecture, event-driven architectures, observability, Resilience, cloud-native development

containerization , Vulnerability Management, DevSecOps, API-first design, Agile Scrum frameworks, observability monitoring, cloud-native architecture, serverless architectures, secure coding principles, AI-driven tooling, cloud development best practices, infrastructure-as-code, Managed Services, OWASP guidelines, code automation workflows, secure software development practices

data engineering , Ml, Distributed Systems, Microservices, Devops, Data Science, Apis, Prompt engineering, AI Automation, Infrastructure automation, Ai, Vector databases, GenAI, LLM APIs, Agentic workflows, Cloud-native architectures, MLOps practices, Orchestration frameworks, RAG architectures, CI CD pipelines

lifecycle management , Data Governance, Devops, Testing, MLops, Coding Standards, enterprise-grade production systems, compliance frameworks, SRE, orchestration frameworks, LLMOps, Agentic AI solutions, AI-first architectures, software engineering excellence, Agentic workflows, prompt management, data-intensive systems, observability, real-time decisioning, Model integration evaluation, agent lifecycle management, LLM-powered applications

observability monitoring, AI-powered autonomous operations, AIOps technologies, SaaS platform services, hybrid multi-cloud control plane, AI ML technologies, site reliability engineering principles

Gcp, Azure, AWS, LangChain, CrewAI, Prompt engineering, Cloud-native architectures, LangGraph, AutoGen, Generative AI ecosystems, Multi-agent systems, Tool integration

Security Solutions, AI-ready Ethernet Fabrics, Cloud Networking Observability, Campus Wi-Fi, GSP Model, Network Security Automation, networking infrastructure, Data Center Switching

model selection , agent orchestration frameworks, data pipelines, RAG pipelines, AI evaluation techniques, LLM integration, architectural tradeoffs, Agentic AI workflows, performance metrics, AI-driven capabilities, predictive ML models