Agentic AI Systems
Autonomous tool-use agents with multi-step orchestration, persistent memory, and real-time reasoning using Claude & LangGraph.
AI Engineer from Kathmandu specialising in autonomous tool-use agents, full-stack RAG pipelines, and LLM workflow orchestration with n8n. I build systems that reason, retrieve, and act — then deploy them with FastAPI, React & Vercel.

From autonomous AI agents to production-deployed RAG systems — I build end-to-end AI solutions that work in the real world.
Autonomous tool-use agents with multi-step orchestration, persistent memory, and real-time reasoning using Claude & LangGraph.
Full-stack RAG pipelines — document ingestion, FAISS vector search, semantic retrieval, and contextual LLM responses.
n8n-based multi-channel workflows that connect LLMs, Google Sheets, Gmail, Discord, and external APIs for business automation.
Production-ready integration of Claude, OpenAI GPT, and Gemini APIs with streaming, tool-calling, and prompt engineering.
FastAPI backends + React/Vite frontends deployed on Render & Vercel — REST APIs, inference pipelines, scalable architecture.
Freelance Next.js, React, and MERN Stack development — from landing pages to full production web applications.
I'm Bibek — an AI Engineer from Koteshwor, Kathmandu. My background is in civil and transportation engineering, which gave me a strong foundation in structured problem-solving and data-driven analysis.
I transitioned into AI by completing professional training in Data Science, ML, and most recently Agentic AI Engineering. Today I specialise in building systems where LLMs don't just generate text — they reason, use tools, retrieve knowledge, and execute multi-step workflows autonomously.
When I'm not building AI systems, I'm a certified yoga & meditation trainer and a part-time instructor with The Art of Living — which I find brings real clarity to complex engineering challenges.
The stack I use to build production-grade AI systems.
From infrastructure engineering to AI systems.
Built agentic AI systems, RAG pipelines, LangChain workflows, multi-agent orchestration, and n8n automation. Projects: AI Job Tracker, Hotel Automation System, RAG Chatbot.
Production web apps for clients including a restaurant POS & accounting app, dynamic business sites, and e-commerce storefronts.
Data-driven technical reports and structured analysis for road infrastructure projects. Strengthened analytical reasoning across field datasets.
Real AI systems built and deployed — not demos. Each project has a problem, a stack, and a measurable outcome.
Manually tracking job applications across emails, calendars, and spreadsheets is fragmented and error-prone. Needed an autonomous agent that handles the entire workflow end-to-end.
Hotel operations across concierge, booking, housekeeping, and revenue were siloed and manual. Needed an AI-powered, multi-workflow system to connect all of it.
Standard LLMs hallucinate on domain-specific content. Needed a full-stack system where users interact with their own documents through context-aware retrieval.
Websites hold valuable info that can't be queried conversationally. Needed a system to scrape any site, build a searchable vector index, and answer questions about it.
Generic chatbots forget context and can't adapt to learning goals. Needed an assistant that tracks objectives and tailors every response to the user's defined goals.
Demonstrate end-to-end deep learning deployment: fine-tune a CNN with transfer learning and serve real-time predictions through a REST API and interactive UI.
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Part-time instructor contributing to service and mindfulness initiatives.
Certified in yoga and meditation — practices that sharpen focus and clarity in complex engineering work.
Passionate about devotional and mindfulness-oriented music as a source of inspiration.
Open to AI engineering roles, freelance projects, and collaboration. Reach out — I respond fast.