fullstack developer and agentic ai engineer
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Description (paste-ready): I design and build agentic AI systems that can plan, reason, and execute real-world tasks autonomously. This includes LLM-powered agents, workflow automation, and task-based AI systems using spec-driven development, structured prompt engineering, and reliable backend logic. Best for: AI chatbots with real task execution Job / task automation tools Internal AI assistants for businesses Pros High value Differentiates you from normal “AI devs” Good pricing power Cons Clients may need explanation Not beginner-friendly clients
I’m an Agentic AI Engineer with a strong full-stack background, focused on building task-oriented, autonomous AI systems that operate through spec-driven development. I design agentic workflows using LLMs, prompt engineering, tool-calling, and structured task execution, ensuring agents are reliable, explainable, and production-ready. My work emphasizes planning-first execution (specs → tasks → implementation), often referred to as iterative or “vibe-based” development when rapid exploration is required. Alongside AI systems, I build the supporting infrastructure using NestJS, Next.js, TypeScript, FastAPI, and MongoDB, with Docker for containerized, reproducible environments. I focus on clean APIs, maintainable architectures, and real-world usability rather than experimental demos. I care about clarity over hype, control over randomness, and building AI systems that actually ship and solve problems.