Full-stack · Data · AI Engineer with strong system thinking and product sense

I build systems from an end-to-end perspective —
from architecture and infrastructure, through data and reasoning flows,
all the way to products that people actually use and rely on.

I started my career in iOS and .NET, then transitioned into machine learning and data systems.
Along the way, I’ve built automated trading systems, AI-driven CRMs,
and large-scale intelligent knowledge systems operating in real-world environments.

• Designing intelligent systems centered on retrieval and understanding,
  turning complex information into context that supports decisions and actions
• Integrating enterprise systems (such as ERP, communication, and customer service platforms),
  allowing AI to naturally participate in real operational workflows
• Building scalable, multi-tenant services in cloud environments,
  covering data flows, isolation, and long-term operability
• Designing and delivering multi-agent service architectures,
  enabling agents with different roles and capabilities to collaborate on complex tasks

What I enjoy most is connecting abstract designs into complete, working systems —
shaping technology into products that feel natural, reliable, and genuinely useful.