Backend systems, distributed architecture, AI/NLP, and algorithms with production context and implementation tradeoffs.
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A practical guide to rate-limiting algorithms, atomic Redis enforcement, failure modes, multi-region trade-offs, and the edge cases that shape production API design.
An agentic control plane with deterministic scheduling and optional retrieval-augmented decision intelligence — designed so no task remains idle without system intervention, and so correctness never depends on LLM availability.
Pattern recognition is the real skill in DP — Knapsack, LIS, Grid, Interval, Tree, Bitmask, and Digit DP patterns broken down with examples.
A token-scoped ingestion gateway with gateway-enforced tenant labels, multi-level load shedding, and app-scoped opinionated reports — designed to remove repeated Prometheus / Grafana / Collector / Tempo / Loki setup from every backend codebase.