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Luis Miguel Ortiz Muñoz

Electronic and Telecommunications Engineer | Automation and Telematics Services | Cybersecurity

About Me

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Software Developer and Automation Engineer, soon to graduate with a degree in Electronic and Telecommunications Engineering, focused on backend development, process automation, and cloud deployment.

Proven experience in creating REST APIs, integrating LLMs, and optimizing workflows, achieving automation rates of over 90%. Proficient in Python (FastAPI), Node.js, Google Apps Script, Docker, and Render.

Solid experience in cybersecurity (firewalls, ACLs) and networking (SDN). Recognized for leadership, critical thinking, and adaptability, with an interest in software development, automation, and cloud computing.

Technical Skills

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Skills Proficiency
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My Projects

A selection of my academic and personal work. Use the search to find projects by technology or keyword.

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IoT Home Automation System
Virtual Assistant Bot with Cloud Deployment

Designed and deployed a Telegram bot for student support, using a microservices architecture with FastAPI and Python. Implemented a web scraping system for extracting and caching information. Integrated an LLM for natural language processing and configured a CI/CD workflow on Render.

FastAPI
Python
Web Scraping
Hugging Face
Docker
Render
Cloud-Based Network Monitoring
Smart Assistant for Academic Triage

Design and implementation of an automation system (Google Apps Script) for the triage and classification of emails, using the Google Gemini (LLM) API and the Gmail API. Achieved automation of over 90% of manual classification.

Google Apps Script
Gemini API
Gmail API
Automation
5G Signal Analysis Tool
SDN Web Application for Simulation and Management

Developed a web application for network visualization and real-time configuration of OpenFlow rules. It featured a frontend in HTML5/CSS3 and a Python backend. Reduced SDN configuration time by 40%.

HTML5/CSS3
Python
OpenFlow
SDN
Ryu
Robotic Arm Control System
Biometric Access System

Implemented a secure biometric access system with a web platform. The system used REST APIs (FastAPI) and managed up to 100 users, reducing validation time by 45%.

FastAPI
Python
REST API
Full Stack
Machine Learning
Contact Me
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