I don’t just build applications, I engineer intelligent ecosystems.

My career is defined by the convergence of Full-Stack Engineering, Cloud DevOps, and Generative AI. I believe that truly scalable software requires more than just clean code, it requires architecture that can reason, adapt, and scale globally.

At AI20 Labs, I put this philosophy into practice by architecting hybrid Edge-Cloud systems. I built orchestration engines that process 980,000+ records and offload inference to SLMs, proving that high-performance AI can be cost-efficient.

Previously at Aude.ai, I engineered the DevOps backbone for a data lake ingesting 500,000+ messages, utilizing automation to turn manual 2-day workflows into 15-minute scripts. Whether I’m designing intuitive Next.js interfaces, hardening AWS infrastructure for 99.9% uptime, or building RAG pipelines that make data "speak," my goal remains the same: to deliver software that is robust, resilient, and undeniably impactful.