DIEGO NUÑEZ

Senior Python Engineer | AI/ML Technical Lead

Production-grade Python backend systems, APIs, workflow automation, cloud architectures, compliance platforms, and AI-powered services.

Python Flask REST APIs Docker AWS EC2 HTTPS / SSL

Production-Oriented Backend

Python/Flask Architecture for AWS EC2 Deployment

This demo is intentionally backend-focused: a Python rules engine exposed through Flask REST endpoints, packaged with Docker, and designed to run on AWS EC2 behind an HTTPS/SSL entry point.

Request / Runtime Flow

Browser Client

HTTPS request to the public demo endpoint

SSL / HTTPS Entry Point

TLS-secured access before traffic reaches the Flask service

AWS EC2 Host

Linux server running the containerized application

Docker Container

Portable runtime with Python dependencies and app configuration

Gunicorn + Flask API

WSGI execution layer exposing /api/country_rules and /api/analyze

Python Rules Engine

Validation, tax calculations, risk logic, and JSON response generation

Backend Engineering Emphasis

Python service design: clean separation between API handling, validation, rule loading, and calculation logic.
Flask REST endpoints: request payloads, response schemas, and runtime configuration through country/year rules.
Traceable output: taxable income, estimated tax, compliance score, risk level, warnings, and audit trail.

Production Deployment Readiness

Docker AWS EC2 SSL/TLS Gunicorn

The application can be built as a Docker image, deployed to an EC2 instance, exposed through an HTTPS/SSL endpoint, and operated as a lightweight production-style backend service.

Deployment Shape

Client Browser
   ↓ HTTPS
SSL / Reverse Proxy
   ↓
AWS EC2
   ↓
Docker Container
   ↓
Gunicorn + Flask
   ↓
Python Rules Engine
   ↓
JSON API Response

Live Demo

Tax Compliance Rules Engine

Demonstration of a configurable compliance engine featuring rule-based processing, validation, and auditability. Python/Flask APIs dynamically load country-specific and tax-year-specific rules from the /api/country_rules endpoint.

                Rules Source
            

GET /api/country_rules

LIVE

Input Parameters

POST /api/analyze

Country

Tax Year

Business Type

Gross Income

Deductible Expenses

Request Payload POST

{
  "country": "Mexico",
  "tax_year": 2026,
  "business_type": "RESICO Persona Moral",
  "gross_income": 250000,
  "deductible_expenses": 62500
}

Compliance Analysis

Python/Flask API workflow with dynamic rules, request payload, and response traceability.

LIVE API

Analysis Endpoint

POST /api/analyze

The form values are serialized as JSON and sent to the Python/Flask backend. The engine loads country-specific and tax-year-specific rules, applies validation and business logic, then returns calculations, warnings, references, and audit trail data.

JSON Response 200 OK

{
  "requestId": "REQ-20260610-ABC12345",
  "country": "Mexico",
  "taxYear": 2026,
  "businessType": "RESICO Persona Moral",
  "grossIncome": 250000,
  "deductibleExpenses": 62500,
  "taxableIncome": 187500,
  "estimatedTax": 56250,
  "effectiveTaxRate": 0.225,
  "complianceScore": 100,
  "riskLevel": "Low",
  "warnings": [],
  "auditTrail": [],
  "officialReferences": []
}

No analysis yet

Configure parameters and run the analysis engine