Marcos Paulo Matos Machado

Achievements:
- Improved reporting reliability by building analytics APIs for acquisition, appointments, sales, revenue, and gym performance metrics using Python, FastAPI, SQLAlchemy, and PostgreSQL.
- Simplified third-party integrations by abstracting CRM and advertising APIs into modular backend services using Python, REST APIs, and SQLAlchemy.
- Improved asynchronous data ingestion scalability

Achievements:
-Reduced production regression risk by 80% through the implementation of unit and integration tests covering all critical routes and functions, using Pytest, mocking, and CI/CD integration.
- Re-architected the Backend infrastructure applying SOLID principles and Domain-Driven Design (DDD) to ensure scalability.
- Deployed and managed cloud infrastructure using AWS services, includin

Achievements:
- Accelerated document-save operations 5× reducing latency with Python by migrating MongoDB to Cassandra.
- Reduced production bugs 80 % by adding Black, flake8 quality gates and branch protections to the CI pipeline.
- Reduced ticket volume by 50 % creating a Python NLP chatbot automated.
- Improved chatbot accuracy by 40% by refining intent classification and entity extraction with

Achievements:
- Reduced debugging time by 70 % by building a real-time script debugger in the Django based IDE using Python, JavaScript and Socket.IO.
- Improved patient assignment accuracy by 90 % by building a geolocation-based API in SQL and Python to identify the nearest healthcare unit.
- Improved API usability and integration speed by 100 % by implementing automated Swagger documentation for

Achievements:
- Reduced manual ticket processing time by 75 % by building an on-demand printing system with dynamic templates and event branding using Python.
- Reduced pricing update effort by 100 % by creating a Python script that automatically adjusts product prices based on real-time USD exchange rates.

Context:
Worked at Grappetech, a Python-focused startup specialized in building custom bus