Creating Principal TPM-level artifacts that translate deep technical implementation into VP/Director-ready communication.
Transforming generic e-commerce fraud detection into a telco/MSP-specific platform. Demonstrates domain adaptation and transferable architectural patterns.
Comprehensive design document for a real-time fraud detection system with sub-10ms latency requirements.
Deep dive into telecom fraud vectors including IRSF, SIM swap attacks, and detection algorithms.
Applying product thinking to an educational app: scope constraints, feature prioritization, and build vs. buy decisions.
Key architectural decisions made while scaling the Ingredient Scanner from prototype to production.
Designing a multi-agent LLM system with explicit quality gates, fallback strategies, and observability.
Building personal automation with explicit ROI analysis, OAuth complexity management, and cost-aware LLM selection.