I’m a software developer exploring AI from first principles—starting with “Am I intelligent?” and learning by building. Over the last few months, I’ve been on a self-driven journey from basic Python to real-world AI applications, focusing on solving problems close to me—tools for my family, learning systems for kids, and interfaces that feel human. I’m deeply curious about how AI can replace friction, not people. I enjoy building, storytelling, and turning small ideas into working systems.

Generative UI and agentic interfaces Human-centered AI systems Real-time interactive AI applications AI for education and emotional intelligence Building products that solve small but meaningful real-world problems

Building real-world AI systems through a 100-day Python + AI journey (40+ projects). Currently exploring generative UI + agentic workflows—interfaces where AI doesn’t just respond but builds interactive components. • Empathy Engine (concept stage): AI system focused on understanding human emotion and responding with contextual, supportive interactions • Emotion-aware storytelling app for kids (voice + adaptive AI) • AI-based assistive tools inspired by personal use cases.

I’m a software engineer passionate about AI-assisted software development, developer productivity, and emerging agentic interface patterns. My work primarily involves full-stack enterprise applications using Spring Boot, Angular, PL/SQL, and modern developer tooling. Recently, I’ve been deeply exploring how LLMs, MCP servers, and AI copilots can improve engineering workflows, accelerate debugging, generate contextual solutions, and enable smarter interfaces. I enjoy experimenting with practical AI integrations, usability improvements, workflow automation, and building systems that make complex applications easier to understand and use.

Generative UI, agentic interfaces, AI-assisted software engineering, MCP integrations, developer productivity tools, workflow automation, contextual copilots, intelligent debugging systems, and human-AI collaboration in enterprise applications. Also interested in connecting with builders, engineers, and researchers exploring practical applications of AI in software development.

Currently exploring AI-assisted developer workflows and agentic interfaces using tools like GitHub Copilot, multiple LLMs, MCP integrations, and full-stack application context analysis. I’ve been experimenting with improving enterprise development workflows by connecting backend systems, UI flows, databases, and AI copilots to accelerate debugging, feature development, and usability improvements. Also interested in generative UI patterns, AI-driven automation, and intelligent developer tooling