🕶️ Snowden SAY | Deep Systems Lab

Deep Systems Researcher | Distributed Storage Engines | AI Agent Infrastructure | Kernel Internals

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  [CORE PRINCIPLES] 0% Corporate Fluff. 100% Assembly, eBPF probes, Raft & Benchmarks.
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🔬 Active Research & Core Specializations

• 🧠 AI Agent Runtimes & Inference: Rolling Context Compaction, Schema-Constrained Decoding (xgrammar), PagedAttention KV-cache fragmentation & SWE-bench evals.
• ⚡ HighLoad & Distributed Storage: LSM-tree engines, Write-Ahead Logging (WAL), Raft consensus, shared-nothing cache architectures (Dragonfly/Rust).
• 🐧 Linux Kernel & Low-Level Tracing: eBPF / XDP wire-speed packet processing, io_uring zero-copy rings, CFS scheduler jitter mitigation.
• 📈 HFT & Ultra-Low Latency: Lock-free SPSC/MPMC queues, cache-line bouncing prevention, memory alignment & AVX-512 vectorization in C++23.

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🚀 Flagship Open-Source Showcases

Repository	Focus Area	Technology	Channel Funnel
awesome-ai-agent-infrastructure	Agent Memory Compaction & Evals	Python / Rust / vLLM	Research Post
awesome-highload-architecture	1M+ RPS Distributed Engines & Raft	Go / Rust / io_uring	Join Channel
awesome-hft-cpp23-internals	Sub-Microsecond Lock-Free Trading	C++23 / Assembly	Read Case
awesome-ebpf-linux-tracing	Kernel Bypass & Observability	C / eBPF / XDP	Get Handbook
vllm-constrained-decoding-cookbook	Production xgrammar FSM Decoding	Python / vLLM	Architecture

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📡 Engineering Intelligence & Publications

I publish unfiltered post-mortems of live production outages, assembly-level memory layouts, and architectural monographs:

• 📡 Telegram Lab: @snowdensay — 3 daily technical breakdowns without marketing water.
• 📚 Engineering Vault: @Snowden_book_bot — 27 complete monographs (600k+ words, 890+ code units) with tested repositories.
• ✍️ Habr / VC / Dev.to: Longread breakdowns of production incidents.

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_{All code published under MIT License. Production invariants verified under chaos testing.}