Jyotish B.'s Linkedin Analytics

- Enterprise Architect with 15+ years of experience designing and delivering large-scale cloud-native and hybrid solutions, including Gen AI integration. Proven track record in developing cloud adoption strategies, creating future architectural roadmaps, and guiding organizations through AI transformation. - Expertise in IaaS/PaaS cloud migration strategies and CI/CD implementations using Azure DevOps, focusing on high availability, scalability, and cost optimization. - Deep understanding of large-scale distributed system design, including service-oriented architecture, RESTful APIs, GraphQL, and integration of AI/ML models into existing architectures. - Experience designing enterprise security solutions and serverless computing, incorporating AI components for enhanced functionality and automation. - Proficiency in developing scalable, modularized solutions using .NET/.NET Core and frontend technologies, with integration of AI-powered features and interfaces. - Knowledge of infrastructure-as-code tools and Microservices topologies, including provisioning for AI/ML workloads and addressing operational concerns. - Experience in Gen AI technologies, including large language models, with hands-on experience in AI frameworks such as LangChain, LangGraph, and LlamaIndex. Worked on implementing Retrieval-Augmented Generation (RAG) systems for enhanced AI capabilities and knowledge integration. - Skilled in developing AI readiness assessments, creating AI governance frameworks, and implementing data pipelines to support AI initiatives while ensuring data quality, privacy, and regulatory compliance.