I am a Senior Full-Stack Engineer and AI Integration Specialist with over eight years of experience building scalable enterprise web applications.
I specialize in designing and delivering production-grade LLM applications using RAG pipelines, multi-agent systems, Model Context Protocol (MCP), and prompt engineering.
My core full-stack expertise includes React.js, Node.js, Python, JavaScript, Express.js, and FastAPI. I build end-to-end applications with secure APIs, intuitive user interfaces, and reliable integrations.
I have worked across banking, healthcare, and enterprise analytics environments, developing compliant and user-centered digital solutions. My experience includes AI-powered chatbots, medical data applications, knowledge platforms, and micro frontend systems.
I use Docker, CI/CD, Git, SQL, IBM Cloud, Google Cloud, Firebase, and Supabase to support efficient development and deployment workflows. I also value quality through Jest, React Testing Library, and Playwright.
I am experienced in Agile/Scrum delivery, stakeholder engagement, user research, technical leadership, and leading modernization efforts for legacy applications.
Architected a multi-AI-agent customer support system for intelligent query routing and sentiment analysis. Integrated ticketing and knowledge-base tools, reducing manual processing by 50% and increasing first-call resolution to 85%.
Built an MCP-powered React and Node.js medical data application for secure patient-data retrieval and AI-generated medical reports. Reduced report delivery time by 96%.
Developed AI-powered chatbots, user interfaces, and APIs for Lloyds Banking Group.
Delivered secure and intuitive banking experiences aligned with industry regulations and enterprise requirements.
Developed a React-based micro frontend navigation bar that improved user experience and deployment speed within an Agile environment. Created an internal knowledge-sharing platform for documentation and tutorials.
Led a legacy application modernization initiative using iterative design, user research, and stakeholder engagement, achieving 90% positive user feedback.
Bachelor of Technology, Computer Science
Bachelor of Technology in Computer Science. CGPA: 7.53.
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