Product & engineering dossier New York / Remote

Governed AI systems engineered for dependability.

Staff Software Engineer and hands-on software architect working across AI systems, developer tools, and distributed services.

Recent Staff Engineer work at Distributed Spectrum and Qrypt, with hands-on CTO experience at artnet. I build software in Rust, Go, TypeScript, Python, and C#, and develop open-source tools that pair AI workflows with independent verification. Seeking a full-time individual-contributor role.

01 / Product Discovery

Governed Strategy

Validating ICP resonance and AI readiness through falsification-based discovery. Ensuring commercial viability before committing capital to implementation.

02 / Project Execution

Agentic Flow

Deploying Critical Path Method to orchestrate agentic coding workflows, expose dependencies, and keep consequential engineering work steerable.

03 / Technical Implementation

Safety Boundaries

Building explicit tool permissions, human approval controls, and independent verification into AI-assisted development workflows.

Product company

Products built and stewarded through MC Product Labs.

Started in September 2026, MC Product Labs is a separate product-development effort. These commercial products are in development and being prepared for production release.

Market intelligenceIn development

Preveti

Vet before bet—challenge product assumptions, examine alternatives, and authorize evidence before committing engineering time or capital.

  • Assumption testing
  • Simulation + human studies
  • Decision records
Visit Preveti
Engineered contentIn development

Allumata

Engineered content for agencies—structural specs, validation rubrics, and signal loops so copy is manufactured to an outcome, not guessed at.

  • Structural analysis
  • Side-by-side audit
  • Section-level attribution
Visit Allumata
Evidence & complianceIn development

Attestrue

Independent evidence when proof matters—signed records, policy-version evidence, and corroboration for consent and compliance events.

  • Signed records
  • Policy-version evidence
  • Proof anchors
Visit Attestrue
Developer infrastructureIn development

Licenz

Enterprise airgap licensing in a 2MB Rust binary—offline-first validation, hardware binding, and an auditable open-source client.

  • Offline-first
  • Air-gapped support
  • MIT-licensed client
Visit Licenz
Public postureIn development

PubOps

The operations plane for public posture—inspect legacy claims, authorize repositioning moves, and govern required expressions across channels.

  • Posture-gap review
  • Human-authorized moves
  • Evidence-bounded
Visit PubOps
MCP tools suiteIn development

FrontRails

A suite of MCP tools for teams who want LLM speed without drift, rework, or broken flows—intent, structure, security, and UX aligned to what actually ships.

  • MCP tool suite
  • Local CLI control layer
  • System-level alignment
Visit FrontRails

Open Source · Junior Agent

Scoped coding tasks.
Reviewable results.

Junior Agent delegates bounded coding work to lower-cost models using acceptance criteria, isolated Git worktrees, independent checks, and bounded repair attempts. I actively use it across my own projects.

01

Explicit task contracts

Scope and acceptance criteria define what each delegated task must deliver.

02

Independent checks

Verification and bounded repair attempts produce evidence for review.

03

Reviewable handoffs

Changes, check results, model usage, and unresolved work remain visible to the reviewer.

04

Praxec tooling

Earlier MCP/CLI tools for critical-path planning, House of Quality analysis, and failure-mode assessment support task planning and review.

Earlier open source · Praxec

Safe AI requires deterministic boundaries.

Praxec is an open-source agentic harness—hosting workflows, enforcing policy gates, and retaining control over state, tools, approvals, and evidence while models do probabilistic work.

Explore the Praxec organization ↗
01

The harness

Hosts agentic workflows with legal transitions, durable policy gates, human approval, and audit trails—authority in code, not model interpretation.

02

Cognitive architectures

Structured, governed approaches for discovery, analysis, FMECA, implementation, and verification.

03

Deterministic MCP tools

Open-source utilities—CPM planning, elicitation, scientific process, cross-matrix analysis, corpus work, and operational tools—that plug into the harness.

04

FrontRails integration

Praxec’s MCP and CLI utilities also support Junior Agent task planning and review, including critical-path planning, House of Quality analysis, and failure-mode assessment.

Family Study: Temporal Runtimes

Event-processing for distributed systems.

The tflo family explores embeddable temporal event processing across Rust, WASM, React, and browser environments—with shared models and deterministic behavior as design goals.

Explore tflo repositories ↗
Runtime

tflo-core

The embeddable Rust engine and shared temporal foundation.

Interface

tflo-react

Declarative temporal state for React applications backed by the shared runtime.

Interaction

tflo-browser-events

Browser-event capture and signals designed around durable identifiers and pluggable sinks.

Open Source · Jevitate

Autonomous browser testing with a deterministic spine.

Jevitate records real browser sessions into typed Journeys over Playwright, then replays, explores, load-tests, and reviews them from a single CLI or MCP server. Autonomous runs are driven by TypeSafe’s Jev and bounded by hard guardrails—model decisions are hypotheses; runtime evidence decides pass or fail. MIT-licensed, TypeScript, Node 20+.

01

Record → replay

Capture a real flow by demonstration into a deterministic, typed Journey—then parameterize, promote, and load-test it against an authorized origin.

02

Goal-directed exploration

Drive to a natural-language goal with autonomous exploration; success is judged by an independent assertion, never the model’s say-so.

03

Adversarial & UX review

Bounded misuse against a trusted hard-signal defect oracle, plus ranked, cited, evidence-anchored usability findings.

04

MCP server, safety-first

Exposes only an allowlisted tool surface for agents; every run is origin-bound and budget-capped, and credentials are never sent to a model.

Open Source · opv

Secrets delivery with explicit controls.

opv (1password-vault) is an open-source Rust CLI connecting 1Password-managed secrets to application runtimes and CI. 1Password remains the source of secret values; opv coordinates validation and delivery through official CLIs.

01

Typed validation

Declare key names, IDs, and validation rules. Reporting identifies problems without displaying secret values.

02

Plan before sync

Review proposed changes and bind synchronization to a plan. Deployment and pruning require explicit controls.

03

Runtime and CI targets

Supports Fly.io, Azure Key Vault and Container Apps, Kubernetes, External Secrets Operator, and GitHub Actions.

04

Automation and assistants

Structured JSON reports, stable error codes, and an agent skill support scripted and AI-assisted workflows. Distributed as prebuilt binaries and through npm; MIT licensed.

Engineering / Attributed Evidence

Engineering &
Attributed Evidence

Breadth is useful when it becomes pattern recognition: across public companies, billion-dollar enterprise software, regulated domains, and early-stage teams.

Public-company CTO leadership

Hands-on platform modernization

Owned modernization of a decades-old monolithic platform, actively designing, planning, managing, and helping execute the transition toward cloud architecture. Led collaboration with MediaAgility on the phased migration to Google Cloud.

Read external case study ↗

Billion-dollar enterprise · Medidata

Flagship-product architecture and portfolio repair

Architected and repaired flagship products and led technical turnarounds for some of the weakest products in the portfolio—work requiring product judgment, delivery discipline, and hands-on technical depth.

Program and delivery governance

Critical-path discipline for consequential work

Applies formal project planning, including CPM, to expose dependencies, sequence work, and control delivery risk—and builds tools that bring the same discipline to agentic coding.

Working method / 03

Conceive the product.
Steward the system.

Discovery, boundary analysis, critical-path planning, implementation, and verification form one accountable delivery loop. The artifacts change; the discipline does not.

Discover→Model risk→Plan the path→Ship→Verify
Full-time role search

Hands-on engineering opportunities.

Seeking a full-time individual-contributor role in AI systems, developer tools, distributed services, or product architecture. The résumé page includes two targeted PDFs and a consistent professional history.