Sadaf A.

AI-Native Full Stack Developer | React, Next, Python, RAG, OpenAI, AWS

I help businesses build AI-powered SaaS products, internal tools, automation systems, and RAG applications using Python, JavaScript, and modern full-stack frameworks. I’m a Top Rated Full Stack Developer with $150K+ earned, bringing strong experience across React.js, Next.js, Vue/Nuxt, Node.js, Python, FastAPI, Django, OpenAI, Claude, RAG systems, and production SaaS development. My background started in full-stack product development, building SaaS platforms, dashboards, APIs, CRM tools, and frontend applications. Over time, I moved deeper into Python, AI integrations, document search, automation workflows, and AI-Native development using tools like Claude Code, Cursor, GitHub Copilot, and ChatGPT. Most of my work sits between AI engineering and full-stack product development. I build systems that can search documents, answer questions, automate follow-ups, update CRMs, connect third-party APIs, process data, and give teams clean dashboards to manage everything from one place. What I can help with: Python backend development using FastAPI, Django, Flask, APIs, scripts, data processing, and integrations JavaScript/TypeScript development using React, Next.js, Vue/Nuxt, Node.js, and modern frontend/backend tools AI integrations using OpenAI, Claude, GPT APIs, assistants, structured outputs, and tool/function calling RAG systems, AI search, document Q&A, internal copilots, and knowledge-base assistants Full-stack SaaS platforms, admin dashboards, internal tools, API integrations, deployment, and production support AI-assisted development using Claude Code, Cursor, GitHub Copilot, and modern coding agents to move faster while keeping code clean and maintainable Relevant work: I worked on Neblo.AI, an AI-powered freight automation platform for brokers. The system handled AI-driven lead qualification, carrier matching, automated communication workflows, and operational automation to reduce manual calls, inbox overload, and follow-ups. I also built a RAG-based mortgage guideline platform where users could search complex documents, ask scenario-based questions, and receive structured answers grounded in source content. If you need a developer who can combine Python backend engineering, JavaScript full-stack development, and practical AI integration, I can help you build a product that is clean, scalable, and useful in the real world.