Throughout my career, I have focused on solving low-level optimization and server-side infrastructure challenges where absolute reliability is non-negotiable. My technical expertise spans C++ performance tuning, server-authoritative state synchronization, and building scalable microservices using TypeScript, Node.js, and Python. Currently, I work at a Netflix-backed startup where I architect cloud-sync infrastructure using Supabase Edge Functions to manage deeply nested structures, and engineer high-concurrency, low-latency generative AI communication pipelines via WebSockets and RESTful APIs. Prior to this, I spent several years developing core systems for multiplayer real-time platforms, where I built server-authoritative reconciliation frameworks to handle heavy network latency and eliminated severe main-thread processing bottlenecks.
Beyond core systems engineering, I am passionate about defensive AI architecture. I specialize in building type-safe, multi-agent reasoning pipelines that use programmatic validation layers and structural schemas to eliminate data drift and hallucination risks in production environments. My interest lies in continuous integration and deployment automation, technical design documentation, and standardizing robust engineering practices across cross-functional teams. Moving forward, I am looking to apply my deep system profiling, scripting, and backend design experience to infrastructure-heavy domains like health tech, secure networks, or distributed cloud platforms that demand high data integrity and performance.
