Software Engineer · AI Specialist
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
- Platforms · AI
Live streaming with AI
Live events and education platform scaling to thousands of concurrent viewers, with real-time chat, polls and assessments.
- Mobile
Native and cross-platform apps
Apps published on both stores — native in Kotlin and Swift and cross-platform with React Native/Expo and Flutter.
- IoT · Industry
Industrial telemetry
Data collection and telemetry over LoRaWAN and MQTT, integration with PLCs and Modbus and real-time operations dashboards.
- SaaS · ERP/CRM
Multi-tenant platforms
Multi-tenant management systems for regulated sectors, with APIs, billing and end-to-end integrations.
- AI · Documents
Ingestion and RAG
Document ingestion and structuring pipelines with embeddings and semantic search for reliable answers.
- Infra · DevOps
IaC and observability
Infrastructure as code with Terraform, containers and in-house monitoring and error-reporting SDKs.
Technical skills
- TypeScript
- JavaScript
- Python
- PHP
- C#
- Java
- Kotlin
- Swift
- Dart
- Go
- Rust
- C++
- Kotlin (Android)
- Swift (iOS)
- React Native
- Expo
- Flutter
- React
- Vue
- Angular
- Next.js
- Astro
- Tailwind CSS
- Inertia
- Laravel
- Yii
- FastAPI
- Django
- ASP.NET
- Spring Boot
- Node.js
- Express
- RAG
- AI Agents
- Embeddings
- Vector DBs
- pgvector
- Qdrant
- Fine-tuning
- PyTorch
- Hugging Face
- LangChain
- LangGraph
- LlamaIndex
- Ollama
- Prompt Engineering
- n8n / Make
- AWS
- Azure
- Google Cloud
- Cloud GPU/ML
- Serverless
- Terraform
- Docker
- Kubernetes
- CI/CD
- Prometheus
- Grafana
- Ansible
- Git
- PostgreSQL
- MySQL
- MongoDB
- Redis
- SQLite
- Supabase
- LoRaWAN
- ChirpStack
- MQTT
- EMQX
- Modbus
- PLC / HMI
- Node-RED
- Raspberry Pi
- Arduino
- 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