Bilal Köse Bilal Köse Bilal Köse Bilal Köse Bilal Köse Bilal Köse Bilal Köse Bilal Köse Bilal Köse
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Bilal Köse

Software Engineer · .NET · Cloud · DevOps

The code I write reaches millions of people every day. With 10+ years across large-scale platforms, I build and ship software languages and technologies change, the approach doesn't: the right system, the right decisions, full ownership.

  • 10+ years experience Large-scale platforms and product teams
  • High-scale systems Distributed architecture, performance, reliability
  • Cloud-native delivery Kubernetes, CI/CD, secure sustainable releases
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Areas of expertise

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Professional services I offer for scalable, reliable software and cloud systems.

  • Enterprise Microservices & Distributed Systems Architecture

    (4 ratings) 5901 views

    I design scalable, resilient, and high-throughput backend systems. With microservices architecture, event-driven design, Kubernetes infrastructure, and strong observability foundations, I build enterprise-grade systems that remain sustainable under real production load.

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  • Enterprise AI Platforms, RAG & Agentic Workflow Architecture

    (6 ratings) 7568 views

    I design enterprise-grade AI platforms that securely use internal company data, take controlled actions, and integrate into real business workflows. I build production-ready AI systems with RAG, multi-step agent flows, tool calling, approval mechanisms, and observability layers — not just PoCs.

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  • AIOps, AI Observability & Autonomous Operations Engineering

    (7 ratings) 8232 views

    I unify logs, metrics, traces, and operational events into a single operational intelligence layer to make your systems more visible, more predictable, and more resilient. With AIOps, AI-powered observability, anomaly detection, root cause analysis, and autonomous response workflows, I help production operations move from reactive firefighting to proactive control.

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  • Web Security, WAF & Bot Management Engineering

    (9 ratings) 1239 views

    I separate incoming traffic into humans, declared bots and hidden automation, and tie every block decision to a threshold and the reason behind it. Edge WAF rules are managed from code, requests clearing the edge meet a second filter at the origin, and every block is counted by category. Bot claims are verified against vendor-published address ranges.

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  • KVKK & GDPR Compliance and Data Lifecycle Engineering

    (5 ratings) 1108 views

    I move compliance out of the document layer and into the code: the retention period is a constant on the class rather than a line in a procedure, and a daily job enforces it. The masking rule is defined down to the minimum digest length, erasure is bound to a working function, and compliance texts are dated and audited.

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  • Game Development: Mobile Casual, Dress-Up & Browser Games

    (11 ratings) 1507 views

    I treat a game as a software product: the content pipeline is generated from asset scans, scores normalise to 0-100, and purchases are verified server-side with the platform signature rather than trusted from the client. For multilingual releases RTL layout and voice work are planned from the start, and in the child category the purchase gate and ad consent are built as separate mechanisms.

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