A deep dive into Yjs’s CRDT architecture and operational transform engine — the data structures, conflict resolution rules, and patterns that make collaborative editing feel instant.
Build a speculative decoder with Medusa-style draft heads and modern samplers in PyTorch. A production-flavored portfolio project that signals real ML systems skill.
How to shard Playwright test suites across Kubernetes pods, aggregate results into a single Allure report, and keep the loop fast for engineers.
Build a real rotary positional embedding kernel in PyTorch with a custom autograd node, fused CUDA-style kernels, and a tiny test harness. The project you ship on a CV to signal GPU, systems, and ML-engineering depth.
Most tokens burned by an AI coding agent are spent on I/O and boilerplate, not reasoning. Here’s how to slash your bill by routing grunt work to a cheaper model while keeping your frontier model for the problems that actually need it.