I'm a Software Engineer with a passion for building solutions that marry technical excellence with human-centered design. With experience in full-stack development (React, Node.js, Swift) and AI engineering (TensorFlow/Keras), I thrive in roles where I can bridge the gap between complex technology and real user needs. My approach combines leadership (Agile/SCRUM), problem-solving (LEAN methodologies), and a relentless focus on impact.

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Languages

I'm proficient in multiple programming languages, from system-level (C/C++) to AI development (Python) and mobile apps (Dart/Swift). I choose the best tool for each challenge:
HTML
CSS
Javascript
Typescript
C
C++
C#
Python
Swift
Dart
bash
MySQL
PostgreSQL
MongoDB

Frameworks & Technologies

Frameworks are my force multipliers. Whether building AI models with TensorFlow, crafting responsive UIs with React, or delivering mobile apps via Flutter, I choose technologies that deliver results efficiently:
React
Flutter
Firebase
Node.JS
Tensorflow
Vercel
Supabase
Git
Postman
Pandas
Matplotlib
Tailwindcss
Unity

Experience

GE AEROSPACE

Software Engineer Intern

As a Software Engineer Intern in the LEAN SUMMER EXPERIENCE, I developed automation tools to optimize audit workflows, reducing processing time by 51%. Designed a standardization prototype that contributed to my team’s 2nd Place finish in the program. Technologies: VBA, LEAN frameworks.

Why Transformation

Jr. Full-Stack Developer

Built and maintained client websites (e.g., CEPA, Make-A-Wish) with custom WordPress plugins and optimized UX. Automated workflows using Zapier and ensured site stability through performance updates. Technologies: WordPress, PHP, JavaScript.

Projects

HiTec Register

Check repository!
Large-scale academic event management system developed for Tec de Monterrey's HiTec conference. The platform proved its robustness by handling 600+ concurrent users during registration peaks with zero downtime. I implemented a CSV bulk registration system capable of managing 1,500+ activity slots, along with a streamlined authentication method that reduced access time to just 3 seconds using student ID validation. The architecture featured: intelligent scheduling to prevent overlaps (limiting to 1 activity per hour), real-time updates via Supabase, and optimized Vercel deployment ensuring sub-2-second response times even under peak load.

Carssification AI

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AI model achieving 94.7% precision in classifying 40 car part types. Used ResNet50 transfer learning with custom dense layers (512-128 neurons) and dropout regularization. Optimized via early stopping, reducing overfitting by 23% from initial architecture.

Contact

Let's build something amazing together! Whether you have a project in mind, want to collaborate, or just talk about software development, I'd love to hear from you. Coffee chats are always welcome too!