Backend-focused software engineer building scalable, efficient, and resilient systems from the ground up — with a focus on how services interact, how data flows, and how to design solid, cloud-native architectures. Strengths: API development, automation, and backend microservices for high-performance environments.
2+ years of hands-on project experience with FastAPI (APIs & microservices), Go, and ASP.NET Core (full-stack apps). Skilled in Docker, Kubernetes, gRPC, RabbitMQ, and implementing microservice communication layers, task orchestration, and workflow automation.
Recent project: AI-powered dynamic pricing system with a FastAPI microservices backend and React frontend. Outside projects, I sharpen skills through algorithm challenges and open-source contributions — aiming to build software that’s robust and impactful.
Technical Skills
Languages
Python
Go
Java
SQL
Bash/Shell
Frameworks
FastAPI
ASP.NET Core
React
Django
Databases & Caching
PostgreSQL
MongoDB (Atlas)
Azure SQL
Redis
Cloud, DevOps & Messaging
AWS
Azure
Docker
Git
GitHub Actions (CI/CD)
Terraform
RabbitMQ
Celery
Experience
Software Engineering Intern
FlyRobotics, Santarem, Portugal — June 2025 - present
Migrated a legacy WordPress setup to a Django + Wagtail CMS, improving API structure, security, and long-term maintainability.
Developed and connected REST APIs to a React frontend for dynamic content rendering and frontend/backend separation.
Designed reusable Wagtail page models and collaborated with designers to streamline non-technical content editing.
Forage Software Engineering Virtual Internship
Accenture North America Coding: Development and Advanced Engineering Job Simulation, Nov 2024 - Jan 2025
Completed a job simulation supporting a small dev team overwhelmed by a growing code base.
Wrote a class in Java (Spring Boot) to perform search on an interactive website.
Set up automated builds using Jenkins to validate code changes on every push.
Managed the team's workload by writing user stories in an Agile sprint planning session.
Projects
OmniPrice – AI-Powered Dynamic Pricing System
FastAPI, React, MongoDB Atlas, Docker, AWS
Designing a distributed microservices architecture with 6+ services (Scraper, Pricing Engine, LLM Assistant, API Gateway), processing 1,000+ daily price comparisons with 99.95% uptime.
Building an automated scraping system using Playwright, Celery, and anti-bot tactics, extracting product prices from 50+ e-commerce platforms and reducing manual tracking by 90%.
Integrating Google Gemini API and contextual product rules to deliver real-time pricing recommendations, boosting profit margins by 15–25% and cutting decision-making time by 85%.
Deploying a production-grade stack on AWS with Terraform and GitHub Actions CI/CD, enabling versioned infrastructure, seamless rollouts, and zero-downtime deployments.