Gilmar Vitor Manoel da Silva
I build end-to-end digital products — web, mobile and applied AI in production.
Professional summary
Fullstack software engineer with 19+ years of experience designing, building and shipping web, mobile and AI platforms to production. Applied-AI specialist — RAG, autonomous agents and vector databases — with a track record of real-time systems serving thousands of concurrent users. I work end to end: architecture, backend, frontend, mobile, cloud and DevOps.
- 19+ years building software
- 100+ projects delivered
- 12 programming languages
- 9+ industries served
Core competencies
- Applied AI engineering (RAG, agents, embeddings)
- Scalable systems architecture
- Real-time applications (WebSockets, streaming)
- Native and cross-platform mobile
- Cloud & DevOps (IaC, containers, CI/CD)
- IoT and industrial telemetry
AI specialty
I design and ship systems with RAG (retrieval-augmented generation), autonomous agents, document ingestion and structuring, embeddings and vector databases, automations and real-time voice interfaces — always focused on reliability, cost and scale. I've delivered AI platforms used daily by thousands of people.
RAG · Autonomous agents · Embeddings · Vector databases · Fine-tuning · LLM Ops · Real-time voice · Smart automations
Experience & projects
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Live streaming with AI · Platforms · AI
Live events and education platform scaling to thousands of concurrent viewers, with real-time chat, polls and assessments.
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Native and cross-platform apps · Mobile
Apps published on both stores — native in Kotlin and Swift and cross-platform with React Native/Expo and Flutter.
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Industrial telemetry · IoT · Industry
Data collection and telemetry over LoRaWAN and MQTT, integration with PLCs and Modbus and real-time operations dashboards.
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Multi-tenant platforms · SaaS · ERP/CRM
Multi-tenant management systems for regulated sectors, with APIs, billing and end-to-end integrations.
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Ingestion and RAG · AI · Documents
Document ingestion and structuring pipelines with embeddings and semantic search for reliable answers.
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IaC and observability · Infra · DevOps
Infrastructure as code with Terraform, containers and in-house monitoring and error-reporting SDKs.
Technical skills
Languages: TypeScript, JavaScript, Python, PHP, C#, Java, Kotlin, Swift, Dart, Go, Rust, C++
Mobile: Kotlin (Android), Swift (iOS), React Native, Expo, Flutter
Frontend: React, Vue, Angular, Next.js, Astro, Tailwind CSS, Inertia
Backend: Laravel, Yii, FastAPI, Django, ASP.NET, Spring Boot, Node.js, Express
AI & LLMs: RAG, AI Agents, Embeddings, Vector DBs, pgvector, Qdrant, Fine-tuning, PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, Ollama, Prompt Engineering, n8n / Make
Cloud: AWS, Azure, Google Cloud, Cloud GPU/ML, Serverless, Terraform
DevOps: Docker, Kubernetes, CI/CD, Prometheus, Grafana, Ansible, Git
Data: PostgreSQL, MySQL, MongoDB, Redis, SQLite, Supabase
IoT & Industry: LoRaWAN, ChirpStack, MQTT, EMQX, Modbus, PLC / HMI, Node-RED, Raspberry Pi, Arduino
Integrations: REST, GraphQL, Webhooks, RabbitMQ, Kafka, Microservices, ETL/ELT
Continuous learning
Hands-on and always on the frontier: I track the state of the art in generative AI — RAG, agents and LLMs — and bring every advance into production.
Languages
Portuguese — native · English — technical reading & writing