A closed-loop security runtime preventing "The Great Exfiltration" and Indirect Prompt Injection in Autonomous AI Agents.
A systems research project exploring how Zig changes the design of dynamic runtimes as a high-level Python implementation.
Linux network namespace-based transport performance benchmarking framework using tc, netem, iperf3 and optional eBPF instrumentation.
Experimental Linux RFC for an HBF/CXL-era AI memory control plane: runtime hints, prefetch, placement, and tiering.
Runtime-core research for long-lived AI surfaces: worker ownership, transaction scheduling, and bounded projection.
Trace-driven research harness for KV-cache hierarchy policy evaluation in long-context LLM inference.
Experimental Linux kernel patchset and benchmark suite for semantic memory hints in inference workloads. Explores whether user-space intent (streaming vs reuse vs ephemeral memory) can influence reclaim behavior in Multi-Gen LRU (MGLRU).
Simulation study of cache architecture tradeoffs under concurrency — partitioned vs LRU vs client affinity, with trace-driven evaluation on Twitter cache workloads
Deterministic stability framework for stateful AI recovery under bounded compute with nonlinear collapse analysis.
Frictionless Computing: Entropy-Based Operation Filtering for 10x-1000x Effective Speedup
Runtime for survivable autonomous software agents using WASM, migration, and runtime economics.
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