I’m a backend engineer and systems thinker focused on high-performance computing, distributed systems, and algorithmic design. I work at the intersection of efficiency, scalability, and correctness — building architectures that handle real-world complexity with clean abstractions and minimal overhead.

Distributed databases, consensus protocols, concurrency control, digital supply chain systems, and algorithmic trading infrastructure. I’m also deeply interested in the theoretical side — algorithms, recursion, and how mathematics shapes computation.

Languages: Go, Java, Python
Core Skills: gRPC, PostgreSQL, Redis, AWS, Spring Boot, concurrency, system-level design

I believe great engineering lies in clarity, precision, and structure. Every system should be predictable under pressure, recover gracefully, and scale without friction. My approach blends deep understanding of low-level behavior with architectural foresight — designing for performance from the ground up.

Advanced algorithms, chaos engineering, and the foundations of AI systems — focusing on how abstract computation translates into real performance at scale.

"Don’t just build systems that work — build systems that endure."