"Optimizing Performance and Energy Efficiency in Massively Parallel Systems" PhD Dissertation repository.

XiTAO is a lightweight layer built on top of modern C++ features with the goals of being low-overhead and serving as a development platform for testing scheduling and resource management algorithms.

Execution Constraint Engine (ECE) is a runtime decision layer for multi-step LLM workflows. ECE (v1) focuses on cost constraints, acting as a guardrail for unbounded execution in loops, agents, and multi-step systems. It evaluates projected cost before each step and stops execution before exceeding a defined budget.

⚙️ Runtime Intelligence Architecture for Pattern-Oriented Compute, Continuity, and Adaptive Execution Systems. M-OS — Pattern Graph Runtime for Hybrid Compute (CPU / OpenCL / AI backends)

Deterministic intermediate representation for AI agents — compile, verify, execute, and replay structured intent.

A systems research platform for semantic KV-cache orchestration, topology-aware memory placement, distributed prefix reuse, and rack-scale inference memory simulation.

Personal profile and portfolio focused on modular systems, backend architecture, and long-lived software design.

Runtime-core research for long-lived AI surfaces: worker ownership, transaction scheduling, and bounded projection.

Relational Time Engine (RTE): runtime density regulation for compute-efficient transformer inference. Demonstrates up to 75% layer reduction with improved latency and throughput.

Exploratory AI infrastructure project modeling semantic KV-cache orchestration, memory tiering, and HBM/CXL movement tradeoffs for long-context LLM inference.

💽 XPADI-SGDS™ — Survivability-Governed Data Systems • Deterministic Reconstruction • Continuity Intelligence • Attack Success ≠ Data Loss

Energy-Aware Dynamic Adaptation of Runtime Systems

A specification for unfinished regions: non-erasable, non-optimizable traces that remain referable at runtime.

🛡️ XAIPT-GUARD™ — Human Authority Before Irreversible Execution. Runtime governance research surface exploring HOLD-before-finality systems, authority-aware execution, operational visibility, AI-era trust runtime architecture, and bounded execution intelligence.

Deterministic trajectory-aware execution analysis for multi-step LLM workflows using replayable structural and lexical signals.

The Execution Integrity Model and the Application-Layer Kernel: a framework for runtime system architecture with TLA+ verification of native-ownership invariants.

Energy-Aware Dynamic Adaptation of Runtime Systems Through External Control