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Alexandra Romero Lugo
About
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Full Stack Developer
Heroica Veracruz, Veracruz, Mexico
Résumé
Jobs
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Full Stack EngineerMistplayFeb 2026 - Current (7 months)• Drove the cross-platform technical integration following Mistplay's acquisition of Mobivity, aligning two distinct platform ecosystems while keeping the transition invisible to millions of active end-users. • Unified rewards and messaging infrastructure, previously handling millions of monthly requests at Mobivity into Mistplay's platform without service interruption or data integrity issues. • Ensured zero-downtime continuity throughout the acquisition migration, treating reliability as a non-negotiable constraint rather than an afterthought.- Senior Software DeveloperMOBIVITYJan 2023 - Feb 2026 (3 years 2 months)• Architected and delivered scalable REST APIs and web applications using ASP.NET Core, C#, React, and Entity Framework, supporting high-traffic platforms that process millions of requests monthly. • Collaborated on the full migration of a large-scale legacy GCP to AWS serverless architecture (Lambda, API Gateway, S3), cutting operational costs by ~35% and significantly improving scalability and system performance. • Deployed and maintained mission-critical production systems on Google Cloud Platform (GCP), achieving 99% uptime and reliable service availability. • Instrumented Google Tag Manager and Google Analytics across key product surfaces, turning user behavior data into actionable insights that shaped product decisions
- Full Stack Web DeveloperMOBIVITYJan 2020 - Dec 2022 (3 years)• Expanded ownership across the full stack on the Recurrency platform, taking on backend responsibilities in ASP.NET Core and C# alongside front-end delivery, bridging both layers as the product scaled. • Migrated a monolithic architecture to GCP, unlocking the ability to build and deploy configurable CTA Landing Pages at scale and setting the architectural groundwork for what eventually became a fully serverless AWS platform. • Implemented idempotency key logic in C# for a coupon generation system, preventing duplicate processing in distributed workflows and improving reliability under high concurrency. • Built and maintained REST APIs and data access layers using Dapper.NET, supporting platform features that needed both pe
- Front End DeveloperMOBIVITYMar 2018 - Dec 2019 (1 year 10 months)• Delivered web and API development for the SmartSuite platform using ASP.NET MVC, C#, Blazor, jQuery, and CSS, contributing across both UI and lightweight backend layers from early on. • Built front-end interfaces using Vue.js and MVC, translating product requirements into clean, functional user experiences for a fast-moving SaaS platform.
- RProgramming AnalystRedes y Consultoría al Comercio ExteriorAug 2017 - Mar 2018 (8 months)• Managed a team of five person delivering enterprise administrative modules for international shipping and global trade, owning the full cycle from stakeholder requirements to production in C#, WinForms, DevExpress, and SQL Server. • Built Crystal Reports dashboards that surfaced logistics and trade KPIs clearly, giving operations teams the data visibility they needed to make confident, timely decisions. • Ran weekly syncs with business stakeholders to review progress, refine existing functionality, and close the gap between operational reality and what the software delivered, driving stronger user adoption over time.
- SWeb DeveloperSAAS del GolfoFeb 2017 - Jul 2017 (6 months)• Built scalable real-time web applications for a food delivery and omnichannel payment platform using ASP.NET MVC, SignalR, SQL Server, and Bootstrap, supporting day-to-day operations for more than 30 restaurants. • Implemented RESTful APIs with Entity Framework and LINQ, enabling reliable integrations and efficient data exchange across multiple business systems.
- Automation EngineerTecnoapOct 2015 - Jul 2016 (10 months)• Integrated industrial monitoring and management applications using ASP.NET, WCF, SQL Server, and MVVM, providing engineering teams with real-time visibility into production processes and operational performance. • Collaborated with automation engineers to integrate software with PLC-controlled equipment, improving manufacturing reliability, streamlining automation workflows, and supporting more efficient plant operations.
- DEngineering SpecialistDumez Copisa Sistemas Mexicanos SA de CVMay 2011 - Jul 2015 (4 years 3 months)• The role involves architecting and developing enterprise web applications for preventive maintenance, procurement, and inventory management, helping engineering teams manage critical assets and improve operational efficiency. • Built a lifecycle management solution for equipment monitoring, obsolescence analysis, and maintenance planning, reducing downtime risks and improving operational efficiency.
- Junior Engineering SpecialistInstituto Mexicano del PetróleoJan 2009 - May 2011 (2 years 5 months)• Developed investment budget management systems using ASP and MySQL, improving financial transparency for new project decisions. • Supported and integrated MERAK (Schlumberger) with internal engineering applications, assisting petroleum engineers in reserve estimation, production forecasting, and economic evaluation while improving system reliability and operational efficiency
Education
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- CDoctor's Degree, Inteligencia ArtificialCentro Nacional de Investigación y Desarrollo Tecnológico CENIDETJan 2021 - Dec 2025 (5 years)
- Master's degree, Maestría en Redes y Sistemas Integrados (MRySI)Laboratorio Nacional de Informática AvanzadaJan 2017 - Dec 2020 (4 years)
- IDesarrollo de aplicaciones webIt UniversityJan 2012 - Dec 2013 (2 years)
- Ingeniero, Guslitver, IEEEInstituto Tecnológico de VeracruzJan 2004 - Dec 2009 (6 years)
Publications
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- DResidual Neural Networks for Monocular Depth Estimation in Natural EnvironmentsDYNA New TechnologyDec 2024Presently, depth estimation research has focused on deep learning, mainly on monocular depth estimation, because this technique has proven to be an excellent alternative for methods that use expensive sensors or require high computational consumption, providing higher performance and accuracy. Despite there being a large number of works, most have focused on indoor and urban datasets. Due to this, we review the variants of the residual networks being trained with images of natural environments with a high presence of vegetation. We proposed a new dataset specialized in natural environments using the AirSim simulation to evaluate the variants of the ResNet and ResNeXt families and verify that these can be used to detect leaves and thin branc
- MA Comparison of Deep Neural Networks for Monocular Depth Map Estimation in Natural EnvironmentsMDPI SensorsDec 2022Currently, the use of Unmanned Aerial Vehicles (UAVs) in natural and complex environments has been increasing, because they are appropriate and affordable solutions to support different tasks such as rescue, forestry, and agriculture by collecting and analyzing high-resolution monocular images. Autonomous navigation at low altitudes is an important area of research, as it would allow monitoring parts of the crop that are occluded by their foliage or by other plants. This task is difficult due to the large number of obstacles that might be encountered in the drone’s path. The generation of high-quality depth maps is an alternative for providing real-time obstacle detection and collision avoidance for autonomous UAVs. In this paper, we presen
- IA Review on Deep Learning UAV Systems for Visual Obstacle Detection in Crop EnvironmentsInternational Conference on Mechatronics Electronics and Automotive Engineering ICMEAESep 2022Nowadays unmanned aerial vehicles (UAV’s) have an important role in Precision Agriculture, due to this it is necessary the autonomous navigation in crop environments. Motivated by the latter, in this paper we present a review on Deep Learning (DL) techniques as a promising alternative for providing real-time obstacle detection and collision avoidance for autonomous UAVs. Furthermore, this article focuses on enumerating the most open challenges for current DL-UAV solutions to allow the navigation at low altitudes in complex crops.