Transitioning to Remote-First Team Structure
Post-pandemic, our team was split between office and remote workers. The hybrid model created two classes of employees and made collaboration inconsistent. We needed to decide on a deliberate approach.
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Focused on building systems that run models at significantly reduced cost.
By, the way this is a KnowledgeDB built with no compromise.
How I Approach Problems
View allAdopting Event-Driven Architecture for Order Processing
Our synchronous order processing pipeline was becoming a bottleneck. Long-running operations blocked the checkout flow, and failures in downstream services caused cascading issues.
What Work I Do
Beyond AI performance tuning, I focus on the surrounding systems: APIs, data pipelines, observability, safety layers, and infrastructure decisions that make AI usable at scale.
I’m especially interested in building systems that balance performance, reliability, and economics, and in understanding how engineering choices translate into real business impact.
If you’re working on something interesting in AI systems and want a second set of eyes, I’d love to connect. I’m always open to conversations around system design, performance tuning, and real-world constraints.