About Miguel Alejandro
Spanish
Native or bilingual
English
Fluent
Experience
- Optare SolutionsJunior DeveoperSOFTWARE PUBLISHINGMay 2024 - August 2025 (1 year and 3 months)Arrecife, SpainAs a Junior Backend Developer at Optare, my primary responsibilities involved managing the incident lifecycle. I analyzed incoming incidents and error reports to diagnose issues, identify potential solutions, and escalate tickets to the appropriate team. When an issue fell within my team's scope, I was responsible for developing and documenting the required code fix. Following development, I submitted the solution to the testing (QA) team for validation before it was deployed to the production environment."
- QueaterCo-Founder & Lead Developer at QueaterSOFTWARE PUBLISHINGFebruary 2024 - Today (2 years and 4 months)Las Palmas de Gran Canaria, SpainAs Co-Founder, I led the technical development of Queater, an AI-driven software startup focused on restaurant optimization.My key responsibilities included:
- Full-Stack Architecture: Designed and built the company's comprehensive software platform from the ground up.
- Centralized Management System: Developed the core system that unified Point of Sale (POS) management, inventory control, and dynamic menu creation.
- AI Integration: Applied artificial intelligence techniques (leveraging my Master's degree) to optimize restaurant operations.
- Product & Client Management: Beyond development, I was actively involved in product definition, sales strategy, and direct engagement with clients and suppliers.
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Education
- Advanced Diploma in Web DevelopmentCIFP Zonzamas2024This 2-year vocational program provided comprehensive training in full-stack development, system administration, and modern web frameworks. The curriculum focused on backend development using Python and the LAMP stack (Linux, Apache, MySQL, PHP), frontend development with frameworks like React and Angular (using JavaScript), and system management on Linux systems. All projects utilized Git for version control.
- Master's Degree in Artificial Intelligence & Big DataCIFP Zonzamas2025This postgraduate program provided advanced specialization in data-driven technologies and intelligent systems. The curriculum covered machine learning principles, deep learning architectures (using frameworks like TensorFlow and Keras), and natural language processing (NLP). Strong emphasis was placed on large-scale data processing, including distributed computing with Apache Spark and the Hadoop ecosystem, as well as real-time data streaming with Kafka. Practical application was developed through projects using core data science libraries like Pandas, NumPy, and Scikit-learn, complemented by data visualization tools such as PowerBI and Matplotlib.