Engineering · Platform Architecture · B2B SaaS Technologist Boston, MA · ~30 years across IBM, CyberArk, Alteryx, Digital.ai, Gryphon.ai

I ship platform infrastructure for production AI: the layer between agent fleets and the people who run them. Reliability primitives, identity governance, AI observability, decision intelligence. I also author open specifications for the answer-engine era — and a fifteen-repo implementation stack that consumes them (Suite × Implementations). Polyglot by choice: the language fits the problem, not the resume.

Publication note: many of the repos below were published in a concentrated May 2026 portfolio sprint. The dates reflect public packaging, CI, screenshots, and repo hardening, not the first moment the ideas or workstreams existed.

The portfolio runs on two parallel layers that compose:

1. Twenty-two productized open-source properties live at kineticgain.com subdomains — front doors, per-spec landings, operator dashboards, vendor directory, prompt-injection bench. All push-to-deploy via GitHub Actions FTP CI/CD. Front door: suite.kineticgain.com · Quickstart hub: docs.kineticgain.com.
2. Fifteen-repo Suite Implementation Stack — the software that consumes the Kinetic Gain Protocol Suite specs. Decision Intelligence engines · Platform Reliability primitives · MCP servers · data-contract enforcement · ed25519 attestation · drift detection · streaming validators. All CI-green, all semver-tagged at v0.1.0, all MIT-licensed. Four cross-ecosystem hooks chain them into one composable system. The catalog: Suite × Implementations. The compliance mapping: NIST AI RMF crosswalk (v0.2 includes the implementation-tooling alignment).

All twenty-two: mix of AGPL-3.0 and Apache-2.0, CI green, push-to-deploy via FTP Action. 8 React 19 + TypeScript apps · 14 hand-written static HTML landings.

A family of eleven open JSON specifications for the answer-engine and agent era — five core (AEO, Prompt Provenance, Agent Cards, AI Evidence Format, MCP Tool Cards), a three-spec EdTech trio (vendor / district / student), a HealthTech vertical extension (Clinical AI Disclosure — HIPAA / FDA / SaMD posture), a cross-cutting AI Incident Card that ties everything together post-hoc, and an AI Procurement Decision Card that signs off on a vendor's posture across the rest of the Suite. Two regulated verticals covered. NIST AI RMF crosswalk shipped alongside. All AGPL-3.0, all v0.1 draft, all kinetic-gain-protocol-suite tagged. Single landing: kinetic-gain-protocol-suite.

The canonical depth example — every layer needed to consume the spec, across five languages:

hash-attestation-rs — sign + verify Suite docs with ed25519 over the same canonical-hash convention every other Suite repo uses. The missing "this AEO actually came from the vendor" layer. Vendors sign, publish a well-known public key URL, consumers verify. Composes with aeo-validator-service (tamper events surface as structured issues) and procurement-decision-api (Decision Cards can carry a signature).

The unified visualizer + unified MCP server give the Suite a complete read-side (human) and tool-side (agent) entry point. Eleven specs, two front doors, twenty-two live properties.

Reliability primitives. Each independent. All designed to compose:

Identity at the edge → rate limits at the model → canary at deploy → registry as source of truth → SLO budget at the API surface → Rust primitives for hot paths → feature flags for rollout control → shadow traffic for migrations → tamper-evident audit log. Defense-in-depth for the agent era.

Production-shaped backend services in the right language for the problem. 15+ languages across one coherent platform.

Production-shaped governance and observability for AI / LLM workloads:

• mcp-sentinel — MCP server observability + security audit
• rag-sentinel — RAG quality / drift / hallucination signals
• agentobserve — Datadog-shaped operator surface for agent fleets
• agent-codex — governance-as-code: SOC 2 / EU AI Act / ISO 27001 / NIST mappings
• agent-eval-arena — eval harness with regression detection + CI gates
• agent-router — LLM router with provider-aware routing and breakers
• llm-redaction-gateway — PII + secret redaction for LLM API calls
• shadow-ai-detector — unauthorized LLM usage detection
• ai-finops-radar — token-level cost attribution + anomaly detection
• kinetic-flightdeck — unified AI Platform Engineering ops console

Executive dashboards, control planes, decision studios — organized by domain:

Executive & Portfolio executive-briefing-studio · portfolio-command-center · executive_operations_dashboard · scenario-planning-atlas

Revenue & Growth customer-intelligence-graph · growth-systems-control-room · revenue-forecasting-workbench · attribution-intelligence-studio · pricing-experiment-studio · conversion-funnel-intelligence-hub · deal-desk-workspace

AI Governance & Risk ai-governance-review-studio · model-risk-oversight-hub · vendor-risk-operations-center · compliance-workflow-hub · ai-operations-console

Identity & Security identity-command-center · identity-lifecycle-workbench · security-posture-control-room

Workflow & Operations workflow-orchestration-studio · feature-flag-rollout-studio · ab-testing-command-center · customer-journey-control-plane

Spec-first OpenAPI services:

Identity-Access-Audit-API · observability-incident-command-api · customer-health-churn-api · partner-lead-distribution-engine · content-workflow-intelligence-platform · experimentation_insights_kpi · seo-governance-platform · webhook-ingestion-pipeline · kinetic-api-gateway · revenue-ops-ai-assistant

Open to Director / Principal-level Platform Engineering, Web Engineering, or AI Platform roles at enterprise B2B SaaS companies. East Coast time zone. Remote-friendly.

"Long-lived credentials are tomorrow's incident reports. Build short-lived. Audit always. Document once."

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