Experienced Solution Architect with 19+ years of experience in addition to all phases of Software development life cycle. Web-based application development in various public and private sector domains, extensive research on technology trends and industry disruptors across domains to provide innovative and efficient solutions, designing enterprise level applications in Next gen and disruptive technologies. Worked on various RFPs in the capacity of solution architect and presented the solution. Technology mentor to development teams and offer specific guidance during solution design, construction and quality assurance. Led a team of 40+ associates to design and develop Chatbots for Microsoft CorpProficient in translating business requirements to efficient solution architecture that supports the business objectivesDesigned high-level solutions and integration of multi-system, enterprise systems in banking and manufacturing domainSuccessfully completed multiple projects, POCs and pilot projects in Bigdata, cognitive and AITechnology mentored development teams and offer specific guidance during solution design, construction and quality assurance.Worked on various RFPs in the capacity of solution architect and presented the solution to clients.Experienced in designing enterprise level application in Next gen technologies such as AI, Cognitive, Big data, blockchainCore team player for New Service offering under Project & Program Management services.Performed extensive research on technology trends and industry disruptors across BFSI and automotive domain to provide innovative and efficient solutions to meet client objectivesSuccessful in creating effective communication between cross-functional teams, business & vendor and all personnel associated with the engagement. Make the delivery process predictable and scalable.Pioneered innovative team building and cross-functional project management techniques to expedite workflow, simplify processes, and reduce operating costs• AMS AI Capable maintenance system Mar 2024: Bigges hardware supplier company is adopting an AI/ML-driven application maintenance architecture to streamline support for its 300 applications, categorized as mission-critical, critical, and normal. The solution leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to enhance automation, predictive maintenance, and real-time issue resolution. Key features include AI-powered incident management, where LLMs automatically classify and triage tickets, using RAG