# Hi, I'm Anderson Henrique
**AI Systems Engineer | LLMs, RAG & MLOps**
*Building intelligent systems that solve real-world problems*
[](https://www.linkedin.com/in/anderson-h-silva95/)
[](https://github.com/anderson-ufrj)
[](https://huggingface.co/neural-thinker)
[](mailto:andersonhs27@gmail.com)
🎯 Professional Overview
3+ years building production Python systems with 2+ years specializing in AI/ML infrastructure. Computer Science background with proven expertise in multi-agent systems, API optimization, and scalable ML deployments.
📍 Location: Minas Gerais, Brazil • 🌍 Remote: Available worldwide • 🗣️ Languages: PT (Native), EN (Fluent), ES (Advanced), 中文 (Basic)
💼 Core Technical Expertise
|
### 🐍 **Backend Development**
- **FastAPI** • **Django** async/await
- **PostgreSQL** optimization & indexing
- **Redis** caching strategies
- **JWT** authentication & security
- **Docker** multi-stage builds
|
### 🧠 **AI/ML Integration**
- **LangChain** orchestration pipelines
- **RAG** systems & vector search
- **ChromaDB** • **FAISS** semantic search
- **HuggingFace** Transformers deployment
- **Anomaly detection** (Isolation Forest, DBSCAN)
|
### ☁️ **Infrastructure & MLOps**
- **Kubernetes** container orchestration
- **Prometheus/Grafana** monitoring
- **GitHub Actions** CI/CD pipelines
- **AWS** services & **HuggingFace Spaces**
- **OpenTelemetry** distributed tracing
|
🤖 Featured Project: Cidadão.AI
Multi-agent system for Brazilian government transparency analysis
🎓 **Computer Science Thesis Project** 🎓
*Currently being developed under supervision of*
**Ph.D. Aracele Garcia de Oliveira Fassbinder**
*IFSULDEMINAS - Instituto Federal do Sul de Minas Gerais*
### 🏗️ **System Architecture**
```python
# High-performance async agent orchestration
async def orchestrate_agents(task: AnalysisTask) -> Result:
async with asyncio.TaskGroup() as tg:
anomaly_task = tg.create_task(zumbi_agent.detect(task.data))
analysis_task = tg.create_task(anita_agent.analyze(task.contracts))
return await self.synthesize([anomaly_task.result(), analysis_task.result()])
```
🛠️ Technical Stack
FastAPI 0.109+ • LangChain 0.1+ • PostgreSQL 16 • Redis 7 • ChromaDB • Docker • Kubernetes
📈 Production Metrics
- 🤖 17 specialized agents processing government transparency data
- ⚡ <500ms p95 response time with FastAPI backend
- 🔍 Vector search across 1M+ document embeddings
- 🔒 JWT auth + rate limiting + comprehensive audit logging
- 📊 Real-time monitoring with Prometheus + Grafana stack
🌐 Live Ecosystem
[](https://neural-thinker-cidadao-ai-backend.hf.space/docs)
[](https://github.com/anderson-ufrj/cidadao.ai-backend)
[](https://anderson-ufrj.github.io/cidadao.ai-backend/docs/intro)
[](https://huggingface.co/spaces/neural-thinker/cidadao.ai-backend)
[](https://anderson-ufrj.github.io/cidadao.ai-docs/)
🧠 Engineering Philosophy
Bachelor's in Philosophy + Computer Science (in progress) shapes how I build systems:
Code as Applied Ethics: When handling public data, every design decision has moral weight. Privacy and transparency aren't features - they're foundations.
Dialectical Development: Thesis (requirement) → Antithesis (constraints) → Synthesis (elegant solution). Every sprint is a philosophical dialogue with the problem.
Epistemology in Practice: Code is crystallized knowledge. Good documentation isn't just helpful - it's how we share understanding across time and teams.
First Principles Thinking: Before optimizing, understand why something exists. The best performance improvement is often eliminating unnecessary complexity.
🚀 Project Ecosystem
Multi-agent system with 17 specialized AI agents, FastAPI async architecture, comprehensive monitoring
Impact: Processing 50k+ documents daily with 99.7% uptime
Next.js 15 + TypeScript interface with real-time WebSocket connections, internationalization
Features: Real-time data sync, responsive design, dark/light themes
Professional technical documentation with interactive agent showcase
Quality: ARIA accessibility, mobile-first design, bilingual support
🛠 Technical Environment
### **Languages & Core**





### **Frameworks & Libraries**





### **Data & AI/ML**








### **Infrastructure & DevOps**






🔥 Current Focus
Building cost-effective LLM inference pipelines and expanding multi-agent coordination capabilities.
🎯 Open to opportunities in: AI Infrastructure • Backend Systems • MLOps Engineering • Technical Leadership
📬 Let's Connect
**🟢 Status**: Available for new opportunities
**⏰ Response Time**: Usually within 24h
**🌍 Timezone**: UTC-3 (Brazil)
[](https://www.linkedin.com/in/anderson-h-silva95/)
[](https://github.com/anderson-ufrj)
[](https://huggingface.co/neural-thinker)
[](mailto:andersonhs27@gmail.com)
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*"Building intelligent systems that bridge the gap between complex AI and practical solutions"*
🇧🇷 **Minas Gerais, Brazil** • 🌍 **Available for remote collaboration worldwide**