End-to-End AI App Engineering with Modern Tooling by Patrick Clawson

End-to-End AI App Engineering with Modern Tooling by Patrick ClawsonEnd-to-End AI App Engineering with Modern Tooling by Patrick Clawson

End-to-End AI App Engineering with Modern ToolingPatrick Clawson

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I build custom AI-powered applications that bring your ideas to life — from smart assistants to data analysis tools. With expertise in modern LLMs, fast backends, and intuitive UIs, I deliver solutions that actually work, not just demos.

What's included

Requirements Review & Technical Scope

Written summary of the project goals, AI capabilities, and architecture Agreement on tools, APIs, or models (e.g., OpenAI, vLLM, LangChain)

Working AI-Powered Application

Custom web app or backend system with integrated AI logic Supports text input, API interaction, and optional memory or storage Hosted locally or deployed to a cloud environment (e.g., GCP, AWS, Vercel)

Clean, Documented Source Code

Python (FastAPI), TypeScript (React), or your preferred stack Includes setup instructions and environment config GitHub repo or zip archive delivery

Prompt/Agent Logic

Custom prompts, chains, or agents tailored to your use case Tool integrations or memory modules (e.g., RAG, vector store, file I/O)

README + Usage Guide

Step-by-step instructions for running and testing the app API reference if endpoints are exposed

Contact for pricing

Schedule a call