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lgomez15/README.md

Email GitHub Location CV



╔═══════════════════════════════════════════════════════════════╗
║  Building scalable systems, real-time architectures, and      ║
║  products that actually ship — from Panama to production.     ║
╚═══════════════════════════════════════════════════════════════╝


$ whoami

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.


$ ls -la ./now

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

$ cat thesis/architecture.md

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"]
Loading
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

$ cat tech_stack.json

Frontend

React Vue.js Flutter TypeScript JavaScript

Backend

FastAPI NestJS Express.js Node.js PHP

Databases & Data

PostgreSQL MongoDB MySQL Firebase GraphQL Prisma

DevOps & Cloud

Kubernetes Docker AWS GitHub Actions Linux Git

Other Languages

Python Java C C# Dart R


$ cat thesis2/uncertainty.md

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

$ git log --oneline ./experience


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


$ cat ./stats


$ ping -c 1 luis

📧 Email 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.


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    Nagios-friendly practice lab.

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