Building products, understanding systems, and learning from first principles.

I'm a Computer Science undergraduate passionate about building real-world products and understanding how technology works beneath the surface. I don't like treating frameworks and tools as black boxes. Whenever I learn something new, I naturally ask:

• Why does this exist?
• How does it work internally?
• What problem is it solving?
• What tradeoffs were made?
• What happens when it fails? This first-principles mindset drives how I approach software engineering, system design, AI, cloud infrastructure, and problem solving. I believe the best way to learn is to build.

I strive to develop both breadth and depth in engineering.

I actively explore multiple domains across software engineering:

• Full-Stack Development
• Backend Engineering
• Mobile Development
• DevOps & Cloud
• System Design
• Artificial Intelligence Understanding how these areas connect allows me to build complete systems rather than isolated features.

While exploring broadly, I enjoy diving deep into fundamentals:

• Data Structures & Algorithms
• Operating Systems
• Computer Networks
• Databases
• Distributed Systems
• System Design
• Machine Learning Fundamentals My goal is not just to know what works, but to understand why it works.

Languages

Frontend

Backend

Databases

DevOps & Cloud

AI & ML

I enjoy breaking complex problems into fundamental building blocks before looking for solutions. Instead of asking:

Which framework should I use? I ask: What problem am I solving and what constraints exist? Understanding the underlying principles helps me make better engineering decisions and adapt to new technologies faster.

I'm currently exploring:

• Machine Learning
• Production Backends My long-term goal is to combine strong software engineering fundamentals with AI and build intelligent systems that solve meaningful problems.

"Learn broadly. Understand deeply. Build relentlessly."