PRODUCT JUDGMENT · OPERATING MODELS · AI LEVERAGE
From Complexity to Product Clarity.
I work at the intersection of product strategy, regulated domains, growth systems, platform complexity, and AI-enabled execution — turning ambiguous business problems into clear product direction, workflows, and measurable outcomes.
Energy · AdTech · Growth Systems · Media Platforms · AI-enabled Product Systems
Product operating model
Product clarity from messy systems
1. Domain complexity
Regulatory pressure · market signals · platform constraints · user pain
2. Product judgment
Problem framing · prioritization · roadmap tradeoffs · stakeholder alignment
3. Execution model
Workflows · MVP scope · technical architecture · launch readiness
4. AI leverage
RAG · rules · automation · decision support · human review
5. Measured outcome
Reliability · efficiency · revenue protection · compliance · customer experience
Selected work
Product systems built from real operational complexity
Five product systems, each covering a distinct domain and a distinct pattern of product judgment under regulatory, platform, or operational constraint.
AdTech · MCP Governance · AdOps Agents
SignalOps AI
MCP governance control plane for AdOps agents, helping campaign operations teams manage delivery risk, VAST validation, approval workflows, governed tool access, and audit-ready decision trails.
Business problem
AdOps teams manage campaign delivery risk, VAST validation, approval workflows, and audit requirements across fragmented, disconnected tooling.
Product outcome
A prototype MCP-enabled governance control plane that structures campaign signals, governed tool access, and human-in-the-loop approvals into an audit-ready decision trail.
Energy · HEMS · §14a · Smart Meter Gateway · VPP Readiness
Qcells HEMS, VPP & Smart Meter Gateway Platform
Product ownership for a regulated home energy management platform across PV, battery, EV charging, heat pumps, §14a controllability, dynamic tariffs, Smart Meter Gateway rollout, and VPP readiness.
Business problem
German homeowners were adopting PV, battery, EV charging, and heat pumps faster than the software connecting them could keep up, while §14a controllability and Smart Meter Gateway rollout were turning home energy management from a convenience feature into a regulatory obligation.
Product outcome
Product direction that turned a fragmented device ecosystem, installer field reality, and emerging grid-controllability rules into a scoped Gen1 platform and a Gen2 roadmap built for multi-vendor support and VPP readiness.
Energy / Regulation / AI Decisioning
Regulatory Impact Agent
Maps regulatory changes to affected product capabilities, roadmap actions, risk levels, owners, and business deadlines.
Business problem
Energy product teams need to translate regulation into concrete product decisions without losing accountability.
Product outcome
Converts regulatory documents into affected capabilities, owners, deadlines, risks, and recommended next actions.
Telecom / Home Connectivity
HomeNet Assurance MVP
Connects router, mesh, Wi-Fi, and device signals to root-cause diagnosis, remediation workflows, support guidance, and customer-impact visibility.
Business problem
Home connectivity teams struggle to connect technical network events with customer experience and support impact.
Product outcome
Turns router, mesh, and device signals into root-cause diagnosis, remediation recommendations, and verification.
OTT / SmartTV / Platform Product
StreamOS Control Plane
Helps platform teams manage playback quality, rollout risk, device fragmentation, release readiness, and rollback decisions.
Business problem
Streaming platform teams deal with fragmented devices, inconsistent playback quality, and risky app rollouts.
Product outcome
Helps product and platform teams decide when to release, pause, roll back, or investigate based on impact.
How I work
Product strategy first. AI where it earns its place.
Every case study follows the same discipline: frame the business problem, decide the product strategy, then scope AI as one execution lever among several — never the starting point.
Explore the case studies behind the systems.
Each case study walks through the problem, the workflow, the AI system design, the architecture, and the business impact model.