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Nawap B.
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Nawap B.

AI Agent & Automation Engineer | n8n, LangGraph, RAG, Openai, Claude

I build reliable AI automation and internal tools that replace slow, manual business workflows. I design agent workflows, API integrations, private RAG systems, and dashboards, from discovery to deployment. With 3+ years of experience in AI and software engineering, I can take a workflow from pain-point discovery and architecture through agent logic, API integrations, dashboards, deployment, and ongoing improvement. I focus on systems that create operational value, not isolated chatbot demos. My recent work includes: • Building an AI-managed marketing platform that analyzes businesses, generates advertising strategies, provisions Google Ads campaigns, and keeps high-risk actions behind human approval. • Developing OCR and document-processing software that converts receipts and invoices into structured, searchable business data. • Creating private, on-premises AI systems with local LLMs, RAG, Docker, and self-hosted infrastructure. • Automating browser, email, and internal operations workflows that previously required repetitive manual work. I can help with: • AI agents, MCP servers, and API integrations • Marketing, advertising, CRM, and lead-workflow automation • Full-stack AI products and internal business tools • Private/local AI and self-hosted deployments • Voice-agent workflows for qualification, scheduling, support, and CRM handoff • n8n automation backed by custom Python or TypeScript when low-code alone is not enough • Reliability work: human approvals, validation, retries, monitoring, and audit trails I begin by understanding the actual bottleneck. Then I identify where AI provides leverage, where conventional software is safer, and what the smallest valuable implementation should be. Typical stack: Python, FastAPI, LangGraph/LangChain, OpenAI APIs, Next.js/React, Postgres, Docker, n8n, and cloud or local deployment. If your team has a manual workflow, disconnected tools, or an AI prototype that needs to become dependable software, send me the process and current stack. I’ll help you identify the highest-value automation and a practical first milestone.

🇳🇵Pokhara, Nepal$45/hr100% JSS5.00 (5)Since Dec 2022

Earnings and projects

MRR (estimate)
≈$1.4k

An estimate from an earlier read

World#34,225 / 412k
🇳🇵Country#66 / 1,189
Revenue, last 30 days
$0

Last 6 months: $8.5k

Total earnings
$34k

Billed in all: $36k

World#101,557 / 412k
🇳🇵Country#251 / 1,189
Per project
$11k

$2.8k in the last 6 months

World#13,643 / 412k
🇳🇵Country#27 / 1,189
Projects, last 6 months
3
67% fixed33% hourly
World#66,479 / 412k
🇳🇵Country#157 / 1,189
Projects in all
3

Across 5 contracts

40% fixed60% hourly
World#304,140 / 412k
🇳🇵Country#972 / 1,189

Earnings, last 30 days

$35.7kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$35.0k$35.5k$36.0k$36.5kOct 9Oct 24Nov 8

No data since Nov 5, 2026.

Skill rankings: Top 6% in Deep Learning Modeling

Ranked by MRR among everyone on Upwork with the skill.

  1. #13Deep Learning Modeling204 freelancers · 🇳🇵 #1Top 6%
  2. #28Deep Neural Network301 freelancers · 🇳🇵 #2Top 9%
  3. #106Machine Learning Model1,169 freelancers · 🇳🇵 #1Top 9%
  4. #138TensorFlow1,661 freelancers · 🇳🇵 #3Top 8%
  5. #153PyTorch1,585 freelancers · 🇳🇵 #5Top 10%
  6. #241Deep Learning2,743 freelancers · 🇳🇵 #5Top 9%
  7. #570LangChain3,821 freelancers · 🇳🇵 #1Top 15%
  8. #969Machine Learning8,972 freelancers · 🇳🇵 #8Top 11%