Iโm Ebenรฉzer Marquezine โ an engineer by education and a backend developer by passion.
My career journey started in Mechanical Engineering, but I discovered my real fascination lies in building complex, scalable systems and designing clean, maintainable architectures.
๐ผ Currently: ServiceNow Developer, delivering enterprise-grade solutions.
๐ Specialties: Backend development, API design, microservices, software architecture, and systems integration.
๐ Highlight: Architected a microservices-based full-stack app (ft_transcendence) featuring REST APIs, WebSockets, load balancing, caching layers, and presence servers โ all following modern industry patterns.
๐ Always learning: From distributed systems to DevOps and cloud-native patterns.
ft_transcendence is my current playground for designing and implementing a real-time, distributed multiplayer platform from the ground up.
Itโs where I experiment with high-performance networking, microservices architecture, and industry-grade deployment patterns.
Create a platform where multiple players can interact in real time, with:
- Ultra-low latency
- Fault tolerance
- Easily extendable architecture
- Seamless scaling for thousands of concurrent users
| ๐ Core | ๐ก Communication | โ๏ธ Scaling | โก Performance | ๐ฐ Presence | ๐ฆ Deployment |
|---|---|---|---|---|---|
| Backend-first microservices | REST APIs + WebSockets | Load balancing via reverse proxy | In-memory caching | Dedicated presence server | Dockerized, orchestrated |
- ๐ Horizontal scaling stress tests for high concurrency.
- ๐ก API gateway and service discovery implementation.
- โ Advanced caching and data sharding.
๐ Explore more of the Code โ Available at ft-transcendence-2025 Organization
| Area | Tools & Technologies | How I Use Them |
|---|---|---|
| Backend Development | Node.js, TypeScript, C, C++ | Build scalable APIs, microservices, and backend logic. |
| Frontend Integration | Angular, JavaScript | Connect backends to modern UIs with real-time updates. |
| Databases | MongoDB, SQLite | Design schemas, optimize queries, and manage data at scale. |
| Infrastructure & DevOps | Docker, Linux, Git, Bash | Containerize services, automate deployments, and manage environments. |
| Performance & Scaling | Load balancing, caching strategies | Reduce latency, increase concurrency, and ensure uptime. |



