Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get FastAPI backend with full AI integration and AWS deployment

Nitin C.Status: Offline
Nitin C. Nitin C.
4.9
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Nitin, priced and ready to go.
Nitin C.Status: Offline
Nitin C. Nitin C.
4.9
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Nitin, priced and ready to go.

Project details

Scalable REST API with OpenAI/Claude integration, async task queues, PostgreSQL, Docker, and CI/CD pipeline on AWS. Clean architecture, documented endpoints, and post-deployment support.
AI Development Type
Knowledge Representation
AI Tools
PyBrain, PyTorch
AI Development Language
Python

What's included $400

These options are included with the project scope.

$400
  • Delivery Time 5 days
  • Number of Revisions 1
4.9
10 reviews
90% Complete
(9)
10% Complete
(1)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

AA

AHS Shohel A.
5.00
May 15, 2026
GitHub / AI Agent Workflow Specialist Needed (Pilot Project for Content Workflow) Great experience. Thanks, Nitin!

SS

Selcuk S.
5.00
May 14, 2025
Add Home@Home & Away@Away A great freelancer, on time, kindly and knows exactly what he is doing. Very recommended.

PB

Patarawoot B.
5.00
Sep 20, 2024
Develop OpenWeb UI authentication with AWS Cognito.

JM

Jaweed Ahmed M.
5.00
Jul 30, 2024
Python PHI

PM

Praveen M.
5.00
Jul 13, 2024
Python Developer
Nitin C.Status: Offline

About Nitin

Nitin C.Status: Offline
AI Systems & Automation Engineer | Real Time Apps, Claude Code FastAPI
100% Job Success
4.9  (10 reviews)
Jaipur, India - 8:12 am local time
Most AI products die in production when latency spikes, integrations break, or pipelines silently fail under real load not because the model is bad.

I build production‑ready AI systems and automations: real‑time voice apps, AI SaaS backends, RAG/agent workflows, and operational tooling that keep working after week two under real traffic, real data, and real users.

What I build
☑️ Real‑time AI/voice systems: STT → translation → TTS pipelines (Deepgram, OpenAI, ElevenLabs) with WebSockets, streaming, and latency control
☑️ AI SaaS backends: FastAPI/Django services with auth, Stripe billing, usage limits, and admin dashboards
☑️ RAG & agent systems: retrieval pipelines, tools/agents (Claude Code, LangChain, LangGraph), vector DBs, evaluation + monitoring
☑️ Automation & ops: Claude/ChatGPT‑driven workflows, scrapers, n8n/Zapier‑style orchestrations, backend glue between CRMs, APIs, and internal tools

Selected work shipped
➡️ AI ordering assistant (text + voice, English + Greek) with FastAPI backend and React frontend deployed via Docker, running live with real users and payments
➡️ Humanized AI text platform with Stripe subscriptions, usage metering, and ChatGPT‑style UI fully deployed on client infra, designed for ongoing content volume
➡️ Sports analytics platform with real‑time data feeds, AI‑driven betting insights, and full subscription/admin system for paying customers

How I work
➡️ Start from failure modes: latency, concurrency, integrations, and data quality, not just “it works on my machine” demos
➡️ Design clean, testable backends (FastAPI/Django), strong API contracts, and simple, maintainable frontends (React/Next.js)
➡️ Add logging, monitoring, and retries from day one so you can see and fix issues instead of guessing
➡️ Ship in small, verifiable milestones every week ends with something you can run, break, and validate

Core tech stack
☑️ AI: Claude / OpenAI / Gemini, Claude Code, LangChain, LangGraph, RAG, vector DBs (Pinecone, ChromaDB, FAISS)
☑️ Backend: Python, FastAPI, Django, REST APIs, WebSockets, async processing
☑️ Frontend: React, Next.js, TypeScript, Tailwind
☑️ Infra: PostgreSQL, Supabase, AWS (EC2, Lambda, S3, RDS), Docker, GitHub Actions, Vercel/Render/Railway

If you need a system that can survive real users not just another AI prototype send your repo, current architecture, and target use case. I’ll tell you exactly what’s fragile and what I’d fix in the first 2–3 weeks.

🔑 Keywords:
AI Engineer | Python Developer | LLM Developer | RAG Developer | AI Chatbot Developer | FastAPI Developer | Django Developer | Generative AI Expert | AI Automation Expert | LangChain Developer | OpenAI API Integration | GPT-4 Developer | Backend Python Developer | AI Agent Development | Retrieval-Augmented Generation | Vector Database Expert | Prompt Engineering | Flask Developer | REST API Developer | Machine Learning Engineer | NLP Developer | Python Automation | Web Scraping Expert | Scrapy Developer | AWS Python Developer | Docker Python | Microservices Architecture | PostgreSQL Expert

Steps for completing your project

After purchasing the project, send requirements so Nitin can start the project.

Delivery time starts when Nitin receives requirements from you.

Nitin works on your project following the steps below.

Revisions may occur after the delivery date.

Integrate LLMs

Will Need The LLM APIs key from the client

Review the work, release payment, and leave feedback to Nitin.