services
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
Tech8h
about
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.