Everything you need to decide, in one place. Watch the intro, read the resume, then judge the work.
A short walkthrough of how I work and what to expect from the rest of this page.
Takeaways
I built a repeatable benchmark to profile an accounting compilation pipeline, measuring execution time, CPU consumption, and memory across progressively larger datasets. The results revealed that database retrieval and row hydration—not the compilation algorithm—dominated execution time.
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Walking through throttling strategies and the tradeoffs between them.
Takeaways
In this system design walkthrough, I design a real-time online checkers platform that supports 500,000 concurrent games and 10 million registered players. I explore matchmaking, real-time communication, database transactions, server scaling, and leaderboards, focusing on consistency, low latency, and efficient resource utilization.
Takeaways
Partitioning, replication, and consistency tradeoffs for a distributed store.
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Fan-out strategies and how to keep a feed fast at scale.
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Politeness, dedup, and scaling a crawl without hammering the web.
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What the notation actually buys you when comparing approaches.
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The operations that are cheap, the ones that aren't, and why.
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Turning nested loops into a single pass.
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Precomputing to answer range queries in constant time.
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Beyond sorted arrays: recognizing when the pattern applies.
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Where O(n^2) sorts are fine and where they aren't.
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Traversals, invariants, and what balance buys you.
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Priority queues and the problems that reach for one.
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BFS vs DFS, and picking the right one for the question.
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Questions, next steps, or just want to talk it through? Reach out directly.