# Gabriel Lopez Romero

> Backend Developer and Computer Science student (UNCUYO) focused on backend systems, cloud infrastructure, and applied machine learning research.

## Core Summary
- Name: Gabriel Lopez Romero
- Title: Backend Developer
- Location: Mendoza, Argentina
- University: Universidad Nacional de Cuyo (Licenciatura en Ciencias de la Computación, 2022 - Present)
- Website: https://lopezromerogabriel.vercel.app/
- GitHub: https://github.com/gabichulas
- LinkedIn: https://www.linkedin.com/in/glopezromero/
- ORCID: https://orcid.org/0009-0002-9168-5350
- Google Scholar: https://scholar.google.com/citations?user=Py7s7CoAAAAJ
- Email: gabriellopezromero@gmail.com

## Machine-Readable Resources
- [Full LLM Context](https://lopezromerogabriel.vercel.app/llms-full.txt): Complete detailed resume, project architectures, research abstracts, and technical skills breakdown.
- [OpenAPI Specification (JSON)](https://lopezromerogabriel.vercel.app/openapi.json): OpenAPI 3.1.0 schema documenting all portfolio REST APIs.
- [OpenAPI Specification (YAML)](https://lopezromerogabriel.vercel.app/openapi.yaml): YAML format of the OpenAPI specification.
- [Sitemap](https://lopezromerogabriel.vercel.app/sitemap.xml): XML sitemap listing indexable pages and agent entry points.

## Featured Projects
- [pysync](https://github.com/gabichulas/pysync): Pure-Python implementation of rsync built from scratch. Handles binary data streaming, differential rolling hashing, SSH transport, and buffer manipulation for efficient file synchronization.
- [f1-dataops](https://github.com/gabichulas/f1-dataops): 100% serverless, event-driven data pipeline deployed on Google Cloud Platform to extract Formula 1 telemetry data, featuring CI/CD with GitHub Actions and Terraform IaC.
- [Demix](https://github.com/gabichulas/demix): Audio source separation study comparing U-Net vs. Vision Transformer architectures with FastAPI inference service and Docker.
- [PicVault](https://github.com/gabichulas/picvault): Intelligent image management and delivery platform for event photographers using facial recognition with Django REST Framework, PostgreSQL, Docker, and React.

## Research & Publications
- [Neuroevolution for Generating High-Quality Autoscaling Policies on Scientific Workflows](https://lopezromerogabriel.vercel.app/api/research): Framework evolving neural networks to generate pre-optimized Q-tables for Reinforcement Learning agents in Cloud workflow autoscaling. Achieves 7x to 700x hypervolume increases on Pareto fronts for execution time and cost optimization. (Target: CARLA 2026 Poster).
- [Efficiency and Plasticity Metrics for Database Technology Evaluation](https://grupomontevideo.org/site/wp-content/uploads/2026/02/Num3EX.pdf): Formulation and evaluation of quantitative efficiency and plasticity metrics for comparative performance benchmarking of database technologies. (AUGM JJI Conference Proceedings).

## Technical Skills Summary
- Backend Development & Languages: Python, Go, FastAPI, Java, Bash & Scripting, Linux.
- Databases & Messaging: PostgreSQL, MongoDB, Redis, AWS SQS.
- Cloud & DevOps: Docker, Kubernetes, Terraform, GCP, AWS, GitHub Actions (CI/CD), Ansible, Serverless.
- Tools & Observability: Git, Prometheus, Grafana, Loki.

## REST API Endpoints
- `GET /api/profile` - Complete structured developer profile (supports `?lang=en` or `?lang=es`).
- `GET /api/projects` - Array of featured software engineering projects.
- `GET /api/research` - Academic publications, preprints, and scientific abstracts.
- `GET /api/skills` - Categorized technical skills with metadata.