SentryNode Gateway
Semantic AI Inference Governance & FinOps Platform
Most enterprise teams reach production with agents running on frontier models across every request — classification, routing, summarization — tasks a smaller model handles with identical output at 1/100th the cost. There's no governance layer. No audit trail. No kill switch. One runaway agent loop is a board-level incident before anyone looks up. SentryNode Gateway is the layer that sits between your application and the model providers — routing semantically, intercepting loops in under 40ms, and signing every response with a cryptographic provenance record.
Semantic complexity scoring routes routine tasks to SLMs automatically. Frontier models reserved for tasks that require them. 80% offload rate in production benchmarks.
Patent-pending loop interception at <40ms. Detects recursive agentic drift and fires a hard stop before spend compounds. Not observability — intervention.
HMAC-SHA256 cryptographic signing on every request. Which model ran, at what cost, with what quality guarantee. Tamper-evident. Board-ready.
Hard spend caps per tenant, per workflow, per agent. Chargeback reporting for multi-tenant SaaS. No more surprise invoices.
STT→LLM→TTS governance layer. ~2.8s E2E latency live in production. Semantic routing across voice turns. PII scrubbing before any third-party API call.
98.2% quality parity confirmed before any routing decision commits.
Design Partner Pilot
I'm looking for engineering teams running agents in production who are hitting unexplained cost growth — and want to see what governed inference looks like on real traffic before committing to a full deployment.
- Direct access to the founder during the full 30-day onboarding — no support queue
- Influence on the enterprise security and compliance roadmap before public release
- Pilot pricing with first-mover commercial terms locked in at design partner rates
- Production benchmark report you can take to your CFO — your actual numbers, not estimates
🏗️ Enterprise Platform Background
Platform Strategy · Cisco (2021–2024)
Led "Submit to Commit" initiative — automated quality gates across IOSXE platform. Drove Meraki cloud networking roadmap supporting 11.5M+ active devices globally at 99.9% availability.
Security Platform · Cisco
Owned Python-based Secure Storage platform adopted across 80+ Cisco product lines. Established enterprise security standards for cloud infrastructure at scale.
Systems Engineering · Dell EMC (2016–2021)
0→1 enterprise hardware platforms. Built Dell's first on-prem GPU cloud using Kubernetes + Docker. Thermal management, memory optimization, boot time reduction across the server portfolio.
📐 Engineering Impact
$17M+ Cumulative Career Impact
Delivered across Cisco and Dell through CI/CD modernization, infrastructure security hardening, hardware review cycle compression, and platform reliability improvements.
MS Computer Science · Binghamton University
Graduate research in distributed systems and systems architecture. Foundation for the SentryNode Gateway routing and circuit breaker design.
9 Years Enterprise Infrastructure
Bare-metal firmware at Dell through global cloud networking at Cisco. The inference governance problem was visible from both ends of the stack before it had a name.
GPU/IO bottleneck detection for ML training pipelines. Surfaces infrastructure waste — $15K/year per engineer in recovered compute.
10K+ log entries/sec processed with Isolation Forests. Zero-latency multivariate anomaly detection replacing expensive API-based detection.
Technical paper covering inference governance architecture, cost-per-successful-task metrics, and the "AI Tax" framework for enterprise AI deployments.