I am a Computer Systems Engineering professional with hands-on experience in full stack software development. I have built complete systems across frontend, backend, and database layers using HTML, CSS, JavaScript, C#, .NET, SQL Server, and MongoDB.
I have worked on projects that required designing and implementing functional business solutions, including inventory, reporting, security, student management, attendance, grades, and payments modules. My experience also includes building relational and NoSQL data models and improving data integrity and structure.
I recently began training in AI and agent-based development, and I am applying that knowledge in a personal AI project. I enjoy learning new technologies and turning them into practical solutions that support real needs.
In addition to development, I have experience as a junior data analyst in business intelligence, creating dashboards and supporting decision-making with Power BI and SQL Server. This has strengthened my ability to work with data and deliver useful insights.
I value teamwork, self-directed learning, problem-solving, and time management. I have collaborated on multidisciplinary projects and pursued certifications in AI, networking, and Scrum to keep growing professionally.
I am looking for opportunities where I can continue developing as a software engineer, contribute to well-structured systems, and work on meaningful projects with modern technologies.
Developed the frontend and backend of a hardware store management system. Implemented catalog, inventory, reporting, and user security modules. Built and optimized a SQL Server database and generated visual reports in Power BI integrated into the system.
Designed and implemented a NoSQL database with MongoDB to reduce institutional data redundancy. Modeled data using JSON and BSON documents with embedded and referenced structures. Developed modules for students, teachers, attendance, grades, and payments.
Developing a personalized recommendation system based on automated user preference analysis. Implemented a Python data processing pipeline to feed the recommendation model.
Designed and implemented a relational database in SQL Server for sales management. Built executive dashboards in Power BI to support real-time decision-making.
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