18+ years in end-to-end software engineering and architecture.
Designing and implementing robust software solutions, from low-level to cloud environments. Absolute focus on complex system architecture, scalability, performance, and clean code.
me@gabrielreis.eng.brGabriel Reis is an expert software engineer and architect with over 18 years of experience designing and delivering complex systems. His career is shaped by pragmatism and a product-ownership mindset — taking full responsibility from architecture design and data modeling all the way to server infrastructure and deployment.
Agnostic by definition: there is no attachment to a specific stack or language. The goal is to deeply understand the business and engineering problem, design the ideal architecture, and build the most efficient, stable, and sustainable solution possible.
The pillars of my work
- 01
Systems Architecture
Macro vision for designing modular, scalable platforms built for high data volumes.
- 02
End-to-End Ownership
Ability to guide and execute the full development cycle: solution design, backend, frontend, DevOps, and monitoring.
- 03
Critical Bottleneck Resolution
Expertise in investigating the root causes of complex concurrency, latency, and memory consumption problems.
Software Architecture Specialties
Software Engineering & SaaS
Design and implementation of robust full-stack applications, high-availability APIs, modular architectures, and ecosystems built to sustain high traffic and data volumes with resilience.
Cloud Infrastructure & DevOps
Provisioning, containerization, and optimization of cloud environments. Hands-on experience maintaining stable, secure, and scalable systems through solid cloud architecture practices.
Performance Optimization
Query tuning, intelligent data modeling, and advanced caching and messaging strategies. Expertise in diagnosing and resolving severe concurrency, latency, and memory bottlenecks.
Integration Engineering (Hardware & Vision)
A solid foundation enabling software to interact with the physical world. Applied engineering in digital image processing, industrial automation, IoT, and direct sensor and hardware communication.
Automation & Data Pipelines
Building efficient background routines, automated bots for information processing, and stable pipelines for large-scale data ingestion and transformation.
Observability & Resilience
Implementing telemetry and proactive monitoring to ensure complex systems run predictably in production, enabling fast diagnostics before users feel the impact.
Technical Leadership & Product Vision
An ownership mindset focused on translating real business pain into viable technical solutions. Ability to guide the complete product lifecycle, ensuring pragmatism, simplicity, and real-world impact.
Engineering in Action
Platform Architecture & Distributed Systems
Software built for heavy processing flows and high data fidelity.
Critical Monitoring Systems
Architecture for real-time processing and monitoring of massive data sets, integrating geospatial data and disturbance alerts.
Scale Portals (B2B/B2C)
Building complex transactional portals for clients and partners, ensuring data flow integrity and control of inventory and KPIs.
Pipeline Automation
Backend infrastructure for robust APIs, automated collection bots, and large-scale data extraction scrapers.
Physical Interfaces, IoT & Industrial Automation
Where software operates at the boundary between code and hardware.
Signal and Image Processing
Software engineering applied to computer vision systems for real-time sorting and separation of materials by physical characteristics.
Scanner and Sensor Integration
Software logic development for complex automated systems using 3D scanners and mechanical systems.
Connected Systems (IoT)
Industrial IoT systems for control, telemetry, and remote auditing of processes under severe operating conditions.
Work Philosophy
01
Product before technology.
Frameworks and languages change; the value generated for the product and the business is what endures.
02
Simplicity scales.
Over-engineered architectures create high costs and difficult maintenance. Real engineering solves problems with simplicity and elegance.
03
From bit to server.
Experience with low-level and hardware allows understanding how software truly behaves on the machine, resulting in incredibly more performant cloud code.
Get in touch.
- me@gabrielreis.eng.br
Gabriel Reis · 2026