You will get a custom LLM-powered web app built with Claude or OpenAI


Project details
You will get a production-ready, LLM-powered web app — not a demo. I integrate Claude and OpenAI into real products end to end: multi-model pipelines, prompt engineering, prompt caching for lower cost, structured JSON output, RAG, and chatbots — on a clean FastAPI/Python backend with a Vue 3 or React front end.
Recent work includes OfferRun, an AI tool that ingests documents, merges them with AI deduplication, and generates ATS-scored output in seconds. With 10+ years in full-stack engineering, a team-lead background, and the Anthropic Claude Certified Architect credential, I deliver maintainable code (Clean Architecture, Docker, CI/CD) that ships and scales.
Tell me what you want to build and I'll own it from architecture through deployment.
Recent work includes OfferRun, an AI tool that ingests documents, merges them with AI deduplication, and generates ATS-scored output in seconds. With 10+ years in full-stack engineering, a team-lead background, and the Anthropic Claude Certified Architect credential, I deliver maintainable code (Clean Architecture, Docker, CI/CD) that ships and scales.
Tell me what you want to build and I'll own it from architecture through deployment.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code |
Frequently asked questions
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AB
Alpha B.
Oct 29, 2020
Need Laravel expert to completed our v2 deployment of our website
SB
Sebastien B.
Oct 13, 2020
Optimization DB query, Laravel 7
Gave me some good advices about website optimization
SB
Sebastien B.
Oct 11, 2020
Too many connection (MYSQL) issue - Laravel 7
Good experience with Alex.
TH
Tijs H.
Jun 30, 2020
Figma to Bootstrap4/SCSS/Jquery
GN
Gabriel N.
Jun 27, 2019
Custom Page on wordpress site
One of the greatest freelancer I worked on upwork!
About Alex
AI Developer | LLM Apps (Claude/OpenAI), Python, Vue/React
100%
Job Success
Kiev, Ukraine - 7:38 am local time
Most recently I built OfferRun, a full-stack AI tool (Python, FastAPI, Vue 3, TypeScript, Claude API) that ingests a user's documents, consolidates them into a unified profile via AI-powered dedup and merge, and generates tailored, ATS-scored output in seconds. It runs a multi-model pipeline (Claude Sonnet for generation, Haiku for an ATS keyword and compatibility pass), uses prompt caching to cut token cost on repeated calls, returns structured JSON, and follows Clean Architecture on the backend.
What I bring:
- LLM integration and prompt engineering — Anthropic Claude API, OpenAI, multi-model pipelines, prompt caching, structured JSON output, evaluation and scoring
- Full-stack delivery around AI — FastAPI and Python backends, Vue 3 and React with TypeScript, REST APIs, WebSockets
- Production engineering — Docker, CI/CD, Google Cloud, SOLID and Clean Architecture
- Data ingestion and automation — PDF and DOCX parsing, authenticated scraping, GitHub repo analysis
I've led full-stack teams of up to 8 engineers at EPAM Systems, so I can own a feature from architecture through deployment. I also hold the Anthropic Claude Certified Architect - Foundations certification.
Tell me what you want to build with AI and I'll help you ship it.
Steps for completing your project
After purchasing the project, send requirements so Alex can start the project.
Delivery time starts when Alex receives requirements from you.
Alex works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scope
Define the use case, choose the models (Claude/OpenAI), and agree on data flow, success criteria, and tier scope.
Build & integrate
Implement the LLM pipeline and prompts, the FastAPI/Python backend, and the Vue/React front end, with structured output and tests.