About Gonçalo
I build scalable, revenue-driven software systems for companies that can’t afford architectural mistakes.
I specialize in backend-heavy, data-intensive, and AI-powered applications — particularly where performance, pricing logic, search, recommendations, or complex integrations are core to the business.
Over the past years I’ve worked on:
- Dynamic pricing and price elasticity systems maximizing revenue at scale
- High-performance search & filtering systems for high-traffic platforms
- Machine-learning-driven fleet optimization tools
- Fintech CRM platforms powered by proprietary financial scoring algorithms
- AI-powered IoT systems deployed in physical retail environments
- Custom templating engines used across enterprise platforms
Technically, I work across:
- Go (Golang) and Node.js / NestJS for backend systems
- Cloud-native architectures on Google Cloud & AWS
- PostgreSQL, Neo4j, and vector databases like Pinecone
- RAG pipelines, embeddings, semantic search, and recommendation systems
- React / Next.js for production-grade frontends
I’m comfortable designing distributed systems, handling unreliable third-party APIs, optimizing latency, and building event-driven architectures.
Clients typically hire me when they need more than just features — they need someone who can think through scalability, performance, monetization logic, and long-term maintainability.
If you're building an AI-powered product, marketplace, fintech platform, or any system where data and optimization drive revenue — I can help architect and ship it properly from day one.
English
Native or bilingual
Portuguese
Native or bilingual
Remote only
Primarily works remotely
Experience
- HypelistSoftware EngineerSOCIAL NETWORKSJuly 2024 - Today (1 year and 11 months)Full-Stack & Cloud Engineer | GCP | Go | NestJS | RAG | Recommendation SystemsI design and build scalable, cloud-native systems with a strong focus on backend architecture, data modeling, and intelligent systems.Currently building and maintaining full-stack applications on Google Cloud Platform (GCP), including production APIs deployed on Cloud Run using NestJS and Go (Golang) microservices.My stack includes:• Event-driven systems using Pub/Sub• Relational and graph databases (PostgreSQL, Neo4j)• Vector databases (Pinecone)• Embeddings pipelines and semantic search• RAG (Retrieval-Augmented Generation) architectures• Intelligent recommendation systems• React frontends for modern, responsive user interfacesI design distributed systems that are scalable, cost-efficient, and production-ready.On the AI side, I build end-to-end RAG pipelines — from data ingestion and chunking to embeddings generation, vector indexing, retrieval optimization, and LLM orchestration. I have hands-on experience building personalized recommendation systems using behavioral data, graph relationships, and hybrid ranking strategies.I care deeply about clean architecture, performance, and maintainability. My work balances strong engineering fundamentals with practical product thinking.If you’re building a data-heavy product, AI-powered application, or scalable cloud system — I can help architect and implement it properly from day one.
- MoneyGapsSoftware EngineerTECHJune 2021 - June 2025 (4 years)Built a full-stack CRM platform for financial advisors to assess and monitor clients’ financial health using proprietary scoring algorithms developed by the founder.The platform enables advisors to:
- Analyze clients’ financial situations through custom financial health models
- Track progress over time
- Manage client data in a structured, intuitive interface
- Generate actionable insights based on algorithmic scoring
Tech stack:- Next.js (frontend & server-side rendering)
- Firebase (Authentication, Firestore, Cloud Functions)
- Secure role-based access control for advisors and clients
I was responsible for architecting and implementing the full system, translating complex financial logic into scalable application workflows and intuitive UI components.The main challenge was transforming proprietary financial models into a performant, user-friendly SaaS platform that advisors could rely on in real client interactions. - SIXTSoftware EngineerAUTOMOBILEApril 2023 - July 2024 (1 year and 3 months)Lisbon, PortugalFleet Optimization & Dynamic Pricing SystemsWorked across two high-impact teams focused on fleet optimization and revenue maximization at global scale.
- Fleet Management Team
- Contributed to building an internal application to manage worldwide fleet acquisition and de-fleeting operations.
The system leveraged machine learning analytics to optimize:- Vehicle acquisition timing
- Fleet composition by region
- De-fleet strategy based on performance and demand signals
Built using JavaScript, the platform supported global fleet decision-making and improved operational efficiency across markets.Price Elasticity & Dynamic Pricing TeamCollaborated with the price elasticity team to deliver high-availability pricing systems capable of adjusting vehicle rental prices in near real-time.We used machine learning-driven analytics to:- Model demand sensitivity
- Optimize pricing strategies
- Maximize revenue and customer willingness to pay
The focus was on performance, scalability, and delivering pricing updates with minimal latency across large traffic volumes.
Recommendations
Be the first to recommend Gonçalo
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Bootcamp, Full-Stack Web DevelopmentIronhack2020Bootcamp, Full-Stack Web Development
- Licenciatura, Arte MultimediaFaculdade de Belas-Artes da Universidade de Lisboa2016Licenciatura, Arte Multimedia