PRODUCT JUDGMENT · OPERATING MODELS · AI LEVERAGE

From Complexity to Product Clarity.

I work at the intersection of product strategy, regulated domains, platform complexity, and AI-enabled execution — turning ambiguous business problems into clear product direction, workflows, and measurable outcomes.

Energy · AdTech · Telecom · Media Platforms · AI-enabled Product Systems

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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

Product judgment sets direction. AI is one lever inside the operating model, not the strategy itself.

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 / Campaign Operations

AdOps Signal

Transforms campaign delivery signals, pacing anomalies, policy checks, and brand-safety risks into clear operational decisions, recommended actions, and accountable approvals.

Campaign operationsDelivery & pacingPolicy checksRisk scoring

Business problem

Campaign teams face underdelivery, brand-safety risk, policy ambiguity, and manual approval bottlenecks.

Product outcome

Turns scattered campaign signals into clear operational decisions, recommended actions, and accountable approvals.

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AI Governance / Agent Operations

AgentOps Control Tower

Helps teams monitor AI-agent runs, inspect reasoning and retrieval traces, evaluate groundedness and completeness, enforce approval controls, and maintain accountable AI operations.

Agent observabilityEvaluation metricsRBACApproval controls

Business problem

Teams adopting AI agents lack visibility into what an agent actually did, why, and whether the output can be trusted before it reaches a customer or a system of record.

Product outcome

Gives AI platform owners a governance layer that makes agent behavior traceable, measurable, and accountable before autonomy is extended.

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Energy / Regulation / AI Decisioning

Regulatory Impact Agent

Maps regulatory changes to affected product capabilities, roadmap actions, risk levels, owners, and business deadlines.

Regulatory intelligenceRAGImpact mappingRisk scoring

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.

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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.

TelemetryDiagnosticsCustomer experienceIssue classification

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.

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OTT / SmartTV / Platform Product

StreamOS Control Plane

Helps platform teams manage playback quality, rollout risk, device fragmentation, release readiness, and rollback decisions.

OTTSmartTVRollout controlDevice fragmentation

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.

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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.

See the product approach

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.

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