Gilmar Vitor Manoel da Silva
Senior Full-Cycle Software Engineer
I design, build and run systems in production — from the business problem to day-to-day operations.
[email protected] +55 81 98661-7887 gilmar.dev
Summary
Senior software engineer with 19+ years designing, building and running systems in production. I own the full cycle — architecture, backend, integrations, cloud infrastructure, deployment, security and observability — across long-lived corporate systems and regulated sectors, including modernising legacy codebases without interrupting operations. I treat applied AI as an engineering component, with evaluation, tests and explicit limits.
- 19+ years of experience
- 100+ projects delivered
- 10+ industries served
- End to end problem to operations
Strengths
- Software architecture and distributed systems
- Full-cycle engineering: from problem to operations
- Backend, APIs and systems integration
- Cloud, infrastructure as code and CI/CD
- Security, reliability and observability
- Legacy modernisation and applied AI
Selected projects
Projects and contexts are presented anonymously due to contractual confidentiality.
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Multi-tenant platforms SaaS · ERP/CRM
- Multi-tenant management for regulated sectors, with integrated billing
- APIs and end-to-end integrations with third-party systems
Laravel · Multi-tenant · APIs
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Operational identity and traceability Mobility · Field operations
- Integrated platform built from the ground up: API, web operations centre and mobile apps
- On-device authentication, geolocation, checks, real-time events and auditability
Digital identity · Mobile · Real time · Audit
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Live streaming at scale Platforms · Real time
- Live broadcasts to thousands of concurrent viewers
- Real-time chat, polls and assessments over WebSockets
WebSockets · Realtime · Python
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Industrial telemetry IoT · Industry
- Field data collection and telemetry over LoRaWAN and MQTT
- PLC and Modbus integration with real-time operations dashboards
LoRaWAN · MQTT · Modbus
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Ingestion and RAG AI · Documents
- Document ingestion and structuring pipelines into a vector store
- Semantic search with embeddings for reliable answers
RAG · Embeddings · Vector DB
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AI agents for digital operations AI · Automation
- Agent architecture to drive web and desktop systems with no API available
- Flow orchestration with rules, human approval and traceability
AI agents · Visual automation · Orchestration · Auditability
Applied AI
I design and integrate RAG, agents and automations with evaluation, cost and latency control, security, observability and human review. I use AI as an engineering component, not as a standalone demo.
Tech stack
- Architecture and backend
- Software architecture, distributed systems, Python, PHP, TypeScript/Node.js, FastAPI and Laravel
- Cloud and operations
- AWS, Terraform, Docker, Kubernetes, Linux and CI/CD
- Data and integration
- PostgreSQL, Redis, messaging, APIs, events and WebSockets
- Applied AI
- RAG, agents, embeddings, evaluation, guardrails and LLM observability
- Industry
- MQTT, LoRaWAN, Modbus, PLC/HMI and Node-RED
- Web and mobile
- React, Vue and Flutter
Professional development
Continuous study of architecture, cloud, security and applied AI, adopting what holds up under reliability, cost, maintenance and operational impact.
Languages
Portuguese — native · English — technical reading & writing