Computer Engineering Student | Aspiring Software Engineer

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I’m a Computer Engineering student focusing on building end-to-end applications with .NET and Microsoft Azure. I work across software, hardware, and cloud systems to create practical, reliable solutions.

• Cross Platform App Development – Windows and Android application using one .NET MAUI codebase.
• API Backend Server Development – RESTful API using ASP.NET Core Web API.
• Web Development – Simple HTML/CSS/JS and Angular exercises for practicing frontend fundamentals.
• Other/Desktop App Development – Other frameworks I've worked with: PySide6, Java Swing, WinForms.

• CI/CD & Cloud Deployment – Automate the deployment of my backend API using GitHub Actions targeting Azure App Service.
• GIS & Cloud Data Mining – Queried and processed cloud-native geospatial datasets on Google Earth Engine using Python workflows to extract relevant data for urban management.

• GIS & Machine Learning – Worked with U-Net (deep learning model) using TensorFlow to perform semantic segmentation for land cover classification.

• Embedded Systems & Robotics – Autonomous sprayer robot software on Raspberry Pi 4, and a line follower robot with color detection on PIC16F877A.
• Operating Systems Concepts – C implementations of CPU scheduling algorithms, dining philosophers, and producer–consumer synchronization.
• 8086 Assembly – Low-level register and memory manipulation using Intel 8086 assembly.

• Algorithm & DSA Practice – Ongoing problem-solving on LeetCode to strengthen data structures, algorithms, and computational thinking.

In short, I enjoy working with computers from hardware to software and to everything that's in between.

• Project Linkage – A full-stack cross-platform app system connecting project owners and skill providers, featuring project posting, user profiles, messaging, location-based matching, and contract tracking.
• Urban Green Space Management GIS Desktop App using AI – A desktop GIS app built with PySide6, TensorFlow, and Google Earth Engine API to analyze urban green spaces from satellite imagery. ⚠️ Note: This repository is private as it contains work from our completed academic research and cannot be shared publicly.
• Mobile App with Backend Server – A mobile application developed using .NET MAUI with a backend powered by ASP.NET Core Web API, Entity Framework Core, and Azure SQL Database. The API was deployed to Azure App Service to enable secure cloud integration. ⚠️ Note: This repository is private as it is covered under an NDA for my internship project.

• Autonomous Pesticide Sprayer Robot – An embedded systems project to automate pesticide spraying using Raspberry Pi 4.
• Line Follower Robot with Color Detection – An embedded systems project that combines line following with color detection to change its behavior using PIC16F877A.

These are just some of my projects I'm most proud of. Check out my repositories for more.

• Email: cuadravan@gmail.com
• LinkedIn: www.linkedin.com/in/vankristiancuadra