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  1. ai-incident-analyzer ai-incident-analyzer Public

    Build a production-style AI system that ingests logs and metrics, detects anomalies, and uses an LLM to summarize incidents and suggest likely root causes, with observability and reliability in mind.

    Java

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    AI-powered Kubernetes scheduler with RL-based decision making, GPU-aware placement, and a production-grade Scheduler Framework plugin.

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    A reference implementation of modern search architecture that prioritizes deterministic intent enforcement (BM25 + boosts), bounded semantic expansion, and explainable ranking. Built to reflect rea…

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    🏗️ System architecture study comparing e-commerce vs quick-commerce — focusing on backend architecture, data consistency, scalability, and operational complexity.

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