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India
1 year of experience
AI & Full-Stack Developer building real-time systems that turn conversations into actions. Currently working on a production-ready chat platform with Socket.IO, MongoDB, and Next.js — now integrating AI agents to transform communication into productivity. Interested in: • AI agents & applied GenAI • Real-time systems & scalable architecture • Developer tools & productivity platforms Recently built: • Real-time chat app with presence, typing & media • Exploring multi-agent systems on cloud GPUs Always shipping, always learning.

AgentMesh AI is a production-oriented AI task execution platform focused on solving one of the biggest challenges in modern AI systems: reliability. Instead of functioning as just another chatbot, AgentMesh AI transforms natural language into structured, executable workflows capable of performing real-world actions like sending emails, coordinating async tasks, triggering automations, and streaming real-time execution updates. The platform is built using Next.js, TypeScript, MongoDB, Socket.IO, async workers, and modular provider abstraction layers. A major focus of the project was creating resilient infrastructure that continues working even when AI providers behave unpredictably. To achieve this, AgentMesh AI implements watchdog-based monitoring, timeout protection, idempotent execution, deterministic validation pipelines, structured logging, queue orchestration, and real-time task synchronization. The system also supports multi-provider orchestration through OpenAI-compatible APIs, Hugging Face inference endpoints, and AMD-powered infrastructure, allowing dynamic provider switching and improved fault tolerance. During the hackathon, we focused heavily on runtime stabilization, execution consistency, and scalable orchestration architecture. Rather than building another demo-focused conversational app, AgentMesh AI was designed as foundational infrastructure for dependable AI-powered automation and future autonomous workflow systems.
10 May 2026