You will get I will build a scalable REST API backend with Python, FastAPI, and Docker
Project details
You'll get a production-ready REST API built with Python and FastAPI — clean architecture, fully documented, and ready to deploy. I specialize in scalable backend systems with JWT authentication, PostgreSQL/MongoDB integration, and Docker containerization. Whether you need a simple CRUD API or a complex microservices architecture with AWS deployment, I deliver code that performs under load and is easy to maintain. All projects include source code, documentation, and post-delivery support.
Programming Languages
PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
About Raj
Backend Developer & AI/ML Engineer | Python, FastAPI, NLP, RAG
Gurgaon, India - 5:55 am local time
I build production-ready backend APIs and AI/ML solutions that solve real business problems — from intelligent chatbots and RAG-powered knowledge systems to anomaly detection pipelines and compliance automation dashboards.
━━ BACKEND DEVELOPMENT ━━
I design and deploy fast, scalable REST APIs using Python, FastAPI, Flask, and Django, with clean architecture that's easy to maintain and extend. I work with relational and NoSQL databases (PostgreSQL, MongoDB), containerization with Docker, and cloud deployment on AWS and GCP. Whether it's a microservices architecture or a monolithic API, I deliver code that performs under load and holds up in production.
━━ AI & MACHINE LEARNING ━━
I specialize in applied AI — building systems that work outside the notebook:
• NLP & Conversational AI: RAG-based chatbots using LangChain, vector databases (FAISS, Pinecone), and LLM integrations
• Computer Vision: Traffic sign detection for autonomous vehicles; COVID-19 detection using custom CNN architectures (95%+ accuracy)
• MLOps & Pipelines: End-to-end model training, evaluation, and deployment on AWS SageMaker and GCP Vertex AI
• Anomaly Detection & Compliance: Intelligent monitoring systems for real-time data flagging and compliance rule engines
━━ TECH STACK ━━
Python · FastAPI · Flask · Django · TensorFlow · PyTorch · LangChain · HuggingFace · RAG · Docker · PostgreSQL · MongoDB · AWS · GCP
━━ WHAT I'VE DELIVERED ━━
✔ RAG-powered document chatbot with optimized retrieval for enterprise knowledge bases
✔ Real-time anomaly detection system reducing manual review time by 60%
✔ COVID-19 X-ray detection CNN with 95%+ validation accuracy
✔ Compliance automation dashboard cutting audit preparation time significantly
✔ Traffic sign detection model benchmarked on autonomous vehicle datasets
I take full ownership of my work — from architecture decisions to final deployment — and communicate clearly throughout every project. Available for both short-term tasks and long-term engagements.
→ Send me a message describing your project and I'll respond within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Raj can start the project.
Delivery time starts when Raj receives requirements from you.
Raj works on your project following the steps below.
Revisions may occur after the delivery date.
API Design & Architecture Planning
Define endpoints, data models, authentication flow, and database schema based on your requirements.
Development & Testing
Build all API endpoints, integrate database, implement auth, write unit tests, and Dockerize.