You will get API Development with Python: Django, Flask, and FastAPI
Project details
In this project, I will build a robust API using Python frameworks: Django, Flask, FastAPI and also Langchain to enable efficient data communication and interaction with external services. Key highlights include clean code, secure authentication, database integration, comprehensive documentation, and seamless deployment. Let's collaborate and create something exceptional together! 🤝
Programming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Localization, Performance OptimizationWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 25 days |
Number of Revisions | 5 | 8 | Unlimited |
Number of Pages | 5 | 8 | 12 |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | - | ||
Source Code |
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About Rajat
AI Automation Engineer | n8n, AI Agents, Python & API Integrations
71%
Job Success
Jammu, India - 11:43 pm local time
I help startups, SaaS companies, and growing businesses automate operations, connect their tools, and build AI-powered products using **Python, AI agents, n8n, OpenAI, Claude, APIs, CRMs, and cloud infrastructure**.
My focus is on **production-ready automation** that reduces manual work, improves workflows, and can scale as the business grows.
What I Build:
• AI agents, multi-agent workflows & AI-powered applications
• Python, FastAPI & Django backend systems
• OpenAI, Claude & Gemini integrations
• n8n, Make & API-based workflow automation
• HubSpot, GoHighLevel, CRM & business-system integrations
• RAG, document processing & AI search
• REST APIs, webhooks, databases & microservices
• AI-powered reporting, data processing & business automation
Recent AI, Python & Automation Work:
1. Investment Education Platform - AI + Fintech
Built an investment education platform using Claude Code and AI-assisted development, integrating real eToro data and supporting a verified **70.81% win rate**. Worked with MCP browser automation, real-time market data, and an AI-driven development workflow that helped achieve significantly faster development cycles.
2. Mailchimp → GoHighLevel Automation
Created an **n8n workflow** that automatically syncs Mailchimp subscribers with GoHighLevel, including contact filtering, duplicate prevention, custom fields, and scheduled updates, eliminating manual synchronization.
3. Appreciate Wealth
Worked as a **Senior Python Developer** on async application design, API development, AWS integrations, and backend architecture using Python, Django REST Framework, Flask, PostgreSQL, microservices, and Docker.
CRM & Business Automation
I have experience integrating automation with HubSpot, GoHighLevel, Mailchimp, Stripe, Twilio, and other SaaS platforms, including contact synchronization, lead workflows, CRM updates, notifications, data enrichment, and custom API automation.
Technology Stack:
AI: OpenAI | Claude | Gemini | LangChain | LangGraph | RAG | AI Agents | MCP
Automation: n8n | Make | Webhooks | APIs | Workflow Automation
Backend: Python | FastAPI | Django | Flask | REST APIs | Microservices
Data/Cloud: PostgreSQL | Supabase | Redis | Docker | AWS
CRM/Integrations: HubSpot | GoHighLevel | Mailchimp | Stripe | Twilio
Why Clients Work With Me:
• Production-focused AI and automation, not just prototypes
• Strong Python/backend engineering foundation
• AI agents + n8n + APIs + CRM integrations in one workflow
• Experience with HubSpot, GoHighLevel and business automation
• AI-assisted development for faster delivery
• Focus on scalable, maintainable and reliable systems
If you have a manual workflow, disconnected tools, CRM process, AI idea, or existing automation that needs improvement, I can help turn it into a reliable automated system.
Let's connect!
Steps for completing your project
After purchasing the project, send requirements so Rajat can start the project.
Delivery time starts when Rajat receives requirements from you.
Rajat works on your project following the steps below.
Revisions may occur after the delivery date.
Project Analysis and Planning
Start by understanding the client's needs, collaborate on API design, create a detailed project plan, and choose the right tech stack (Django, Flask, FastAPI) based on the project and client's preferences
Development and Testing
Initiate development by configuring the chosen Python framework. Implement API endpoints, robust error handling, and security measures. Write thorough unit tests, collaborate with the client for feedback, and make adjustments during development.