krish678

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  1. I’ve been working on a small system to understand how applications can stay up even when backends fail. The idea is simple: instead of sending requests to a single backend, route them through a layer that can switch to…

  2. Every place I’ve seen run more than a couple of ML models in production ends up with a mess of bespoke inference services: different APIs, different auth, different logging, half-working dashboards, and tribal knowledge…

  3. Ultra-Low-Latency Trading System (submicro.krishnabajpai.me)
  4. I am sharing a research-grade, open-source trading execution framework that achieves a median end-to-end decision latency of 890 nanoseconds on commodity hardware. The project is designed for education, systems…