Thoughts on engineering, architecture, and building products
Choosing Between Microservices and Monolith for Startups
From IC to Tech Lead: the identity shift, impostor syndrome, and lessons in engineering leadership
Infrastructure as Code with Terraform on AWS — practical lessons and real mistakes
Real-Time Data Pipelines with Kafka and Flink — architecture, failure modes, and production lessons
Most early-stage startups make the same mistake: they hire a senior developer and expect them to make technical strategy decisions. Here's why that fails, and what you should do instead.
EdTech is hard. AI EdTech is harder. After building Zkawa and Germany-SF, here's what works, what doesn't, and the questions most founders don't ask until it's too late.
A practical guide to designing machine learning pipelines that handle millions of predictions daily. Covers feature stores, model registries, deployment strategies, and MLOps best practices.
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