Samuel I.
AI Engineer | RAG Chatbots, LangGraph Agents & Full Stack Apps
I build AI-powered applications that help businesses answer customer questions, find information in their documents, automate workflows, and connect their existing systems. I’m Samuel, an AI/ML Engineer and Full Stack Developer. I work across the AI, backend, database, and frontend layers to take projects from requirements to a working application. My experience includes AI wellness applications, document-based chatbots, and n8n workflows for lead qualification, appointment booking, and ecommerce product tracking. I’ve also completed 50+ projects on Codementor with 5-star client feedback. WHAT I CAN BUILD FOR YOU • RAG chatbots and knowledge assistants Chat with documents, website content, and internal knowledge bases using hybrid retrieval, vector databases, source citations, and retrieval evaluation. • AI agents and workflow automation LangGraph workflows with conversation memory, API integrations, and human review where needed. n8n automation for email handling, lead qualification, scheduling, and repetitive business processes. • Full stack AI applications Web applications, dashboards, customer portals, and admin tools using React, Next.js, Python, and Node.js. • Backend systems and integrations REST APIs, authentication, PostgreSQL databases, background jobs, and third-party integrations using FastAPI, Flask, Node.js, and Redis. • Machine learning solutions Data preparation, predictive models, and model integration using scikit-learn, PyTorch, and TensorFlow. CORE STACK Python • FastAPI • React • Next.js • TypeScript • Node.js OpenAI API • LangGraph • LangChain • n8n PostgreSQL • pgvector • Redis • Docker • Azure • AWS HOW I WORK We start with your users, requirements, data sources, and success criteria. I then break the work into clear milestones, build and test the important workflows, and provide deployment and handover documentation. For AI projects, I pay particular attention to retrieval quality, access controls, conversation memory, and how the application handles questions it cannot answer reliably. Send me a description of your project, your current technology stack, and the outcome you want to achieve.
Earnings and projects
Last 6 months ÷ 2, the fewest it counts (since Sep 2026)
Read daily since Oct 30, under 30 days
$618 in the last 6 months
Earnings, last 30 days
Tracked from Oct 30, 2026.
Skill rankings: Top 12% in Flask
Ranked by MRR among everyone on Upwork with the skill.
- #13Google Calendar API74 freelancers · 🇳🇬 #1Top 18%🇳🇬#1 of 1
- #91ChatGPT API516 freelancers · 🇳🇬 #1Top 18%🇳🇬#1 of 24
- #113Web API670 freelancers · 🇳🇬 #3Top 17%🇳🇬#3 of 15
- #222Chatbot1,273 freelancers · 🇳🇬 #5Top 17%🇳🇬#5 of 46
- #276Vector Database1,142 freelancers · 🇳🇬 #4Top 24%🇳🇬#4 of 14
- #290Flask2,438 freelancers · 🇳🇬 #5Top 12%🇳🇬#5 of 42
- #523LLM Prompt Engineering2,457 freelancers · 🇳🇬 #5Top 21%🇳🇬#5 of 66
- #570CMS Development2,787 freelancers · 🇳🇬 #21Top 20%🇳🇬#21 of 140