Building AI that
builds software.
I design and deploy autonomous agent systems, software factories, and interpretability tooling for enterprise engineering organizations navigating the scale transition.
Constrained Agentics
Replacing fragile open-ended loops with state-machine-controlled deterministic execution graphs.
Context Budgeting
Mitigating "Lost in the Middle" attention decay through structural sliding-window prompt orchestration.
Production Guardrails
Isolating runtime tool execution environments securely via model configuration blueprints.
What I build
Deterministic Agent Supervisor
State-machine-constrained multi-agent engine using structured outputs to execute infrastructure updates without non-deterministic execution drift.
Sliding Window Trim Engine
An isolated pre-tokenization utility utilizing an iterative truncation algorithm to prune redundant history blocks, slashing context input token overhead by 42%.
Tools I've shipped
AI System Mechanics
Core execution variables, visualized live.
Unstructured history scaling pushes foundational system rules directly into the low-recall attention valley, causing downstream compilation or state tracking failure.
Unconstrained Sequence Topology
- Raw logs forwarded iteratively across node clusters
- Exponential context payload accumulation per execution hop
- Unmitigated loop hallucinations under structural failures
Isolated Broker Architecture
- State variables handled via central routing contracts
- Workers limited strictly to specialized context sub-windows
- Deterministic step thresholds breaking unverified loops
The signal, not the noise
Real-time enterprise intelligence curated programmatically across strict core channels.