Platform Security and AI Infrastructure Engineer. TS/SCI cleared, USAF cyber defense operations background.
I build the security and platform layer around model serving. My work covers authenticated inference paths, policy and audit controls, release-gate tooling, and the observability that makes serving behavior measurable. I like deterministic systems that can be tested under pressure and explained line by line.
- secure-gpu-inference-gateway: inference gateway demo showing the security control plane around a mock backend.
- deterministic-inference-scheduler: deterministic continuous-batching and paged KV-cache scheduler with replayable traces and release gates.
- triton-kernel-lab: fused Triton RMSNorm and SwiGLU kernels with FP32 oracles and measured latency comparisons.
- triton-inference-benchmark: load-generation and benchmarking toolkit for Triton-compatible serving.
- heterocore-compiler: compiler and cost model for mixed analog-digital inference accelerators.
- market-microstructure-engine: limit-order-book matching engine with a C++20 core and Python parity checks.
- readiness-control-tower: mission readiness decision tool built on synthetic operational data.
USAF cyber defense operations.
- Supported cyber defense across 26 wings.
- Cut threat resolution time from 5 days to 2.
- Hardened 30,000 assets.
- Named A6 Airman of the Year, 2025.
- Portfolio: https://wafflebits.github.io/WaffleBits/
- LinkedIn: https://www.linkedin.com/in/adnanberik/