You will get a Python backend for AI data analytics
Project details
You will get a clean and reliable Python backend for your AI data analytics or data processing product.
I will build backend logic, API endpoints, PostgreSQL database structure and data processing workflows that help turn raw data into useful results. This can include LLM response processing, reporting logic, search analytics, KPI calculations, filters, aggregation queries and backend services for dashboards or internal tools.
This project is a good fit if you need a backend for an AI product, analytics platform, reporting tool, data-heavy web app or MVP. My focus is on writing clean, structured and maintainable code that is easy to extend as your product grows.
You will receive source code, API structure, database logic and setup notes so your team can continue building with confidence.
I will build backend logic, API endpoints, PostgreSQL database structure and data processing workflows that help turn raw data into useful results. This can include LLM response processing, reporting logic, search analytics, KPI calculations, filters, aggregation queries and backend services for dashboards or internal tools.
This project is a good fit if you need a backend for an AI product, analytics platform, reporting tool, data-heavy web app or MVP. My focus is on writing clean, structured and maintainable code that is easy to extend as your product grows.
You will receive source code, API structure, database logic and setup notes so your team can continue building with confidence.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, W3C Markup Validation ServiceWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 16 days |
Number of Revisions | 2 | 3 | 3 |
Number of Pages | 3 | 6 | 12 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$80
Additional Page
(+ 2 Days)
+$120Frequently asked questions
About Monika
Full-Stack Software Engineer | Python, React, PostgreSQL, LLM Data
Gevgelija, North Macedonia - 10:32 pm local time
My strongest background is backend development, but I also work comfortably across the full stack. I build clean and maintainable systems using Python, PostgreSQL, FastAPI, React, TypeScript, Node.js, NestJS, Next.js, Prefect and GCP.
I can help you with:
⭐ Backend development with Python, FastAPI, Node.js and NestJS
⭐ REST API design and implementation
⭐ PostgreSQL database design and query optimization
⭐ React and Next.js frontend development
⭐ Full-stack web application development
⭐ AI search analytics and LLM response processing
⭐ Data aggregation, reporting logic and analytics dashboards
⭐ Performance optimization for backend services and complex queries
⭐ MVP development and product-focused feature delivery
⭐ Refactoring and improving existing systems
I like working on products where structure, performance and long-term maintainability matter. I use clean engineering principles such as Domain Driven Design, Test Driven Development and Hexagonal Architecture to keep the codebase clear, testable and easier to extend.
One of the main projects I’ve worked on is Share of Search, a module inside Jellyfish’s Share of Model product. It helps brands understand how they appear across traditional search engines and AI-driven discovery platforms.
My work included designing and optimizing backend logic, building APIs, working with PostgreSQL aggregation and reporting queries, processing large datasets, analyzing responses from LLMs such as ChatGPT, Gemini and Perplexity, and helping turn complex analytics into useful product features.
The project started as a fast first version focused on domain visibility and later evolved into a more advanced AI visibility analytics module with visibility scores, presence rates, average rankings, brand presence, ranked URLs and generated prompts.
I’ve also worked on real estate, museum management and ads monitoring platforms, including predictive property matching, ticket purchasing flows, payment gateway integration, campaign monitoring, URL validation and client-facing dashboards.
My working process is simple:
1. Understand the product goal
2. Break the work into clear technical parts
3. Design the database, API and backend logic
4. Build clean, production-ready code
5. Connect frontend and backend smoothly
6. Improve performance where needed
7. Communicate clearly and deliver work that is easy to review
If you need a full-stack engineer with strong backend thinking, solid frontend skills and experience in AI-related analytics, scalable web apps and data-heavy systems, I’d be happy to help.
I’m available for new projects and ready to help you build something clean, useful and built with care.
Steps for completing your project
After purchasing the project, send requirements so Monika can start the project.
Delivery time starts when Monika receives requirements from you.
Monika works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the workflow
I will review your requirements, data source, expected output and technical needs to define a clear backend workflow.
Design the backend
I will plan the API structure, database models, data processing logic and main technical approach before implementation.