Welcome to My Blog

I'm excited to launch this blog as a space to share my thoughts, experiences, and learnings in software engineering and artificial intelligence. Whether you're a fellow developer, a curious learner, or someone exploring the tech landscape, I hope you'll find something valuable here.

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What You'll Find Here

This blog covers the intersection of research and practical engineering—taking ideas from papers and turning them into systems that work in production.

Core Topics

Category	What I Write About
AI & Machine Learning	Transformers, computer vision, edge deployment, model optimization
Software Engineering	System design, architecture patterns, performance optimization
Research Projects	Deep dives into my academic and personal research work
Tutorials	Step-by-step guides for building real applications

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Recent & Upcoming Posts

Here's what I'm currently writing about:

Published

• Aether: Code Plagiarism Detection — Using transformer embeddings to detect semantic code similarity, achieving 57% improvement over cosine similarity baselines.

• YOLOv9 Cow Detection — Optimizing cattle detection for Raspberry Pi 3B+, reducing storage requirements by 63% while improving accuracy.

Coming Soon

• GAN-based Art Generation — Exploring generative adversarial networks for artistic style transfer
• Building Scalable APIs — Patterns for high-performance backend systems
• From Research to Production — Bridging the gap between papers and deployable code

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Why I Write

Writing forces clarity. When you explain an idea well enough for someone else to understand, you've proven you truly understand it yourself.

I also believe in learning in public. The tech community has given me so much through open source, blog posts, and shared knowledge. This is my way of contributing back.

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My Background

I'm a software engineer and researcher focused on building systems that work in the real world—not just in notebooks. My work spans:

• Computer Vision — Object detection, image classification, edge deployment
• NLP & Code Analysis — Semantic similarity, plagiarism detection, transformers
• Full-Stack Development — Scalable web applications, APIs, cloud infrastructure
• Edge Computing — Optimizing ML models for resource-constrained devices

I studied at Tec de Monterrey and have worked on projects ranging from precision agriculture systems to code analysis tools.

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Let's Connect

The best insights come from conversation. If you have questions, feedback, ideas for collaboration, or just want to discuss tech—I'd love to hear from you.

You can reach me through the contact page or connect on GitHub and LinkedIn.

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Thanks for reading. Let's build something interesting together.