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║ Building scalable systems, real-time architectures, and ║
║ products that actually ship — from Panama to production. ║
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Hey — I'm Luis Roberto. I'm a Full-Stack Developer finishing a Dual Bachelor's in Computer Science + Business Administration at the University of Salamanca (May 2026).
I spend my time building microservices at Osprean Technologies, doing research-grade full-stack work at BISITE, and architecting a multi-tenant SaaS voice assistant platform for my thesis.
I care about clean architecture, real-time systems, and software that doesn't fall apart at scale.
What I'm actively building right now:
| Status | Project | Stack |
|---|---|---|
| 🟢 Active | Multi-tenant SaaS for intelligent voice assistants (thesis) | FastAPI · NestJS · K8s · WebSockets |
| 🟢 Active | Real-time messaging & microservices @ Osprean Technologies | Node.js · Docker · MongoDB · AWS |
| 🟢 Active | Full-stack web applications @ BISITE Research Group | React · FastAPI · PostgreSQL |
Multi-tenant SaaS — Intelligent Booking Assistant
A platform that lets any business offer an AI-powered booking assistant to their customers — accessible via Telegram, WhatsApp, or phone call (VoIP) — without writing a single line of code. Each business (tenant) gets a fully isolated environment: its own database, its own backend, and its own AI assistant configured to its services and schedule. Under the hood, GPT-4o understands natural language, resolves intent, and calls the right tools to create, modify, or cancel reservations in real time.
graph TB
User["👤 User"] -->|natural language| CH["📲 Channel\nTelegram · WhatsApp · VoIP"]
CH --> GW["📡 Gateway\n(channel adapter)"]
GW --> MCP["🧠 MCP Server\n(GPT-4o + tool calling)"]
MCP --> TenantAPI["🏢 Tenant API\n(isolated per client)"]
TenantAPI --> TenantDB["🗄️ Tenant DB"]
MCP --> GPT["☁️ OpenAI GPT-4o"]
Admin["👨💼 Admin"] --> Frontend["🖥️ React SPA"]
Frontend --> Core["⚙️ Core API\n(auth · tenants · RBAC)"]
Core -->|Docker SDK| TenantAPI
Core --> CoreDB["🗄️ Central DB"]
| Layer | Tech |
|---|---|
| AI / LLM | OpenAI GPT-4o · dynamic tool calling |
| Channels | Telegram · WhatsApp · VoIP |
| Backend | FastAPI · SQLAlchemy · JWT + RBAC |
| Frontend | React 18 · Vite |
| Infra | Docker · Traefik · isolated network per tenant |
Uncertainty Indicators & Financial Market Volatility
A quantitative research project analyzing how economic and geopolitical uncertainty indices (EPU, CNEPU) relate to asset volatility across the US and Chinese markets. Built end-to-end: from raw data ingestion and cleaning, through EDA, to GARCH-X predictive modeling — covering daily and monthly horizons across equities, gold, and crypto.
| Market | Key Finding |
|---|---|
| US EPU → S&P 500 | Correlation with 30d volatility: 0.625 — high-uncertainty regimes drive 1.93x more vol |
| US EPU → Gold | Moderate correlation 0.545, lag effect peaks at 2 days |
| US EPU → Bitcoin | Near-zero relationship 0.025 — crypto decoupled from policy uncertainty |
| China CNEPU → CSI 300 | Negative correlation -0.321; strongest predictive lag at 12 months |
| Layer | Tech |
|---|---|
| Languages | Python · Jupyter |
| Modeling | GARCH-X · time-series regression |
| Data | EPU Index · CNEPU · S&P 500 · CSI 300 · Gold · Bitcoin |
| Pipeline | pandas · statsmodels · matplotlib · seaborn |
2024 → now feat: Software Engineer @ Osprean Technologies
└─ Real-time messaging, microservices architecture, production systems
2024 → now feat: TFG — Multi-tenant Voice Assistant SaaS
└─ Designing the full system from scratch: infra, backend, and AI integration
2024 → now feat: TFG — Uncertainty Indicators & Market Volatility
└─ Quantitative analysis of EPU indices vs asset volatility (GARCH-X modeling)
2023 → now feat: Full-Stack Developer @ BISITE Research Group (USAL)
└─ Research-grade web applications bridging science and engineering
2023 → 2025 past: Programming Instructor @ Academia Titania
└─ Taught PHP, SQL, networking, and fundamentals to aspiring devs
| gomez@usal.es | |
| 📱 Phone | +34 663 723 999 |
| 📄 CV | Download here |
| 💻 GitHub | @lgomez15 |
Always open to interesting projects, collaborations, and conversations about systems, architecture, or DevOps.




