Open to opportunities

Nabin Paudel

@nabinpaudel1

Message

I build production-grade GenAI systems, RAG pipelines, and high-concurrency Python backend platforms.

Nepal

Message

What I'm looking for

I'm looking to build reliable, production-grade GenAI and Python backend systems, including AI agent infrastructure, RAG platforms, high-concurrency APIs, and event-driven automation.

At Arcodify, I built an MCP server for an AI Legal Assistant, enabling LLM agents to interact with document stores through tool-calling protocols. I also developed a Docker-deployed FastAPI RAG system using Gemini, ChromaDB, document ingestion, chunking, embeddings, and vector search.

I designed backend architecture for an Exam Center platform using Django/DRF, Celery, Redis, and PostgreSQL, load-tested for 10,000+ concurrent users and 500+ WebSocket sessions. I manage containerised deployments and CI/CD across AWS, GCP, and Azure, with Prometheus and Grafana monitoring for reliable performance.

Previously at Anweshan Research Institute, I built Python web applications and coordinated a Nepali ASR data pipeline with 1TB of audio. I also automated JBBL–Fonepay financial reconciliation, reducing processing time from 1.5 hours to under 2 minutes.

Experience

Work history, roles, and key accomplishments

Current

Technical Lead / Automation & Backend Lead

Current

Arcodify

May 2025 - Present (1 year 3 months)

Designed and built MCP server for AI Legal Assistant, enabling LLM-based agents to interact with document stores via tool-calling protocols. Developed FastAPI-based RAG system with document ingestion, chunking, Gemini embeddings, ChromaDB vector search, and Gemini LLM responses, deployed with Docker.