Open to opportunities

Samir Paudel

@samirpaudel1

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Computer Science student building applied AI systems, agentic backends, and production-ready RAG solutions.

Nepal

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What I'm looking for

I seek roles building applied AI systems and agentic backends where I can ship production RAG/agent solutions, work with LLM integrations, and grow in engineering and MLOps.

I am a Computer Science student focused on building practical applied AI tools, including agentic backend architectures, RAG systems, and human-in-the-loop safety mechanisms. I combine hands-on engineering with an emphasis on reliability and semantic search.

My projects span FastAPI backends, LangGraph orchestration, vector databases, and LLM integrations; notable implementations include stateful multi-agent systems, PDF visual analysis agents, and automated job-application pipelines. I prioritize persistent session memory, interrupt/resume flows, and production-ready integrations such as Dockerized services and webhook-driven automation.

I deliver end-to-end solutions that integrate modern AI stacks (LangChain/LangGraph, Qdrant, Gemini, OpenAI-compatible APIs) with pragmatic tooling—Gradio UIs, FastMCP, and Supabase/Postgres—aiming to make AI assistants safe, useful, and operational for real users.

Experience

Work history, roles, and key accomplishments

AI Engineer

Self Employed

Built end-to-end AI agent systems and RAG pipelines with human-in-the-loop safety, delivering production-ready FastAPI backends and Gradio interfaces for semantic search and document analysis.

LangGraph fastAPI RAG Qdrant Docker Gradio