Lucas Oliver Recordon Serrano
Computer Science Engineer | AWS Cloud | Full-Stack | Mobile (React Native) | Data Pipelines | Applied AI

Summary
Computer Science Engineer who builds production-ready software across mobile, cloud, and data systems. Hands-on experience delivering a React Native warehouse app in real operations, designing AWS-based data pipelines (Lambda, Step Functions, Athena, S3), and developing AI models for image-based detection. Strongest when translating messy real-world workflows into reliable systems, clean UX, and measurable operational clarity.

Experience
Mobile Application Developer, AgroInventario
June 2025 - November 2025
- Built and shipped a React Native tablet app for agricultural warehouse inventory control, aligned with real on-site workflows.
- Designed UX flows for fast scanning and data entry; improved reliability and usability through field testing and iteration.
- Integrated the app with existing operational tools and processes to reduce manual tracking and inventory friction.
- Led on-site validations with users to ensure adoption, training simplicity, and stable day-to-day operation.

Software Engineer, AMR Films
January 2024 - May 2024
- Contributed to building a new web experience, shipping features in collaboration with the team.
- Implemented improvements that streamlined internal workflows and supported day-to-day productivity.
- Strengthened delivery practices: version control, testing and QA habits, and iterative development.

Selected Projects
AWS Data Pipeline for Tax Data
- Designed and deployed a scalable system using AWS (EC2, Lambda, Step Functions, Athena, S3) and Metabase to process massive SII datasets.
- Automated data analysis using Jupyter in AWS and built visual dashboards to support strategic decision-making.

Mobile Food Ordering App
- Developed a mobile application using React Native and PostgreSQL to enhance on-campus food ordering efficiency.
- Reduced average wait times by 23% by integrating digital ordering with the university's food system.

AI-Powered Dental Radiograph Analysis System
- Developed a deep learning model using Python, TensorFlow, and OpenCV to automatically detect and classify dental cavities from radiographic images.
- Achieved a validation accuracy of 88% and an F1-score of 0.84 on a dataset of annotated dental X-rays.

Collaborative Music Queue Platform
- Created a web platform using React (Next.js, Tailwind) and Spotify API that allows users to join parties via QR code or code entry to vote for songs.
- Enabled DJs to manage playlists dynamically, fostering interactive and engaging social experiences.

Education
Universidad de los Andes
Engineer in Computer Science
Completed December 2025 - Degree conferred June 2026
Thesis: Evaluation of Monolithic, Microservices, and Serverless Architectures for Agricultural Inventory Systems (AWS-based)

Certification
Google Cybersecurity Certificate

Contact
Email: lorecordon@miuandes.cl
Phone: +56 9 6656 8502
GitHub: github.com/lorecordon