
Esteban O.
Full Stack Developer, Cybersecurity Defense Analyst
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Esperienza lavorativa
Full-Stack Web/Mobile Developer | Software Engineering Student | Agricultural Automation | Cybersecurity Defense Analyst
Freelance • Freelance
Feb 2023 - Present • 3 yrs 6 mos
Designed and developed full-stack web and mobile applications using React, Laravel/PHP, and Flutter. Designed irrigation automation systems and integrated crop monitoring sensors, applying my background in Agricultural Engineering to develop technological solutions for the agricultural sector. Modeled relational databases in MySQL and PostgreSQL, optimizing queries and ensuring data integrity. Built REST APIs to facilitate integration between systems and data analysis platforms. Implemented administrative and inventory control systems, including automated report generation in Excel and PDF formats. Deployed and maintained applications in production environments using cloud services (AWS, Google Cloud, Firebase) and hosting providers (Hostinger). Designed network topologies and managed servers for local institutions, including structured cabling and video surveillance systems (CCTV/DVR). SELECTED PROJECTS: Mobile Application Ecosystem — Las Vegas Restaurant ● Developed an ecosystem of three mobile applications (Android/iOS) using Flutter: a customer ordering app, a service app for real-time order tracking, and a delivery driver app. ● Built the backend using Laravel (REST API), PostgreSQL as the primary database, and SQLite for offline local storage. ● Integrated Firebase for real-time synchronization, with deployment on Google Cloud and AWS. Smart Irrigation System — Field Implementation ● Designed and implemented an irrigation automation system integrating ultrasonic sensors for crop monitoring, applying Agricultural Engineering principles to optimize water resource usage. ● Implemented and validated in a real-world field setting, achieving successful operational results. GIS System for Land Management ● Developed predictive models to estimate land value using historical transaction data, environmental variables, and proximity to access roads. These data enable the projection of value appreciation for both rural and urban areas.