Verified Enterprise & AI Systems Proof of Work

Architectural Challenge & Business Bottleneck

Commercial leadership needed a single source of truth separating B2B clinic/practitioner purchasing (hcp.* domains & loyalty tiers) from DTC consumer demand-generation media (Meta, Google Ads, GA4clinic finder flows), while preventing many-to-many fanout bugs in executive Power BI dashboards.

Engineered Solution & Data Pipeline Topology

• ▹Architected a multi-layered BigQuery & dbt project (staging → intermediate → marts) with strict grain enforcement (campaign-level vs. brand-level vs. GA4 event-level).
• ▹Engineered dynamic table watermark lookbacks (MAX(date) - 3) using BigQuery incremental insert_overwrite partitioning to handle late-arriving ad platform conversions at minimal slot cost.
• ▹Designed the Power BI DAX V2 Semantic Model (.SemanticModel TMDL definitions) with isolated Strategy_KPI_Mapping calculation bridges and custom Deneb (Vega-Lite) executive KPI cards.

Architectural Challenge & Business Bottleneck

High-velocity acquisition funnels running concurrent client-side and feature-flag experiments across AB Tasty and Statsig suffered from fragmented targeting rules, manual QA bottlenecks, and disconnected downstream enrollment attribution.

Engineered Solution & Data Pipeline Topology

• ▹Built deterministic read-only API inspection and governance skills for AB Tasty and Statsig to automatically extract active test variations, JS/CSS code modifications, URL targeting scopes, and audience triggers.
• ▹Standardized Cloud metric definitions, experiment hypothesis documentation, and automated executive decision synthesis connecting front-end variant exposure to qualified backend financial consultations.
• ▹Integrated multi-channel communication triage and technical project management playbooks that convert meeting transcripts directly into sprint-ready engineering specifications.

Architectural Challenge & Business Bottleneck

Rapid subscriber growth required unifying high-volume GA360/GA4 web and mobile app telemetry with offline call-center conversions (Invoca) while eliminating the 6-month engineering bottleneck caused by manual element tagging for product analytics and A/B tests.

Engineered Solution & Data Pipeline Topology

• ▹Led a cross-functional initiative with Engineering and Product to embed an automated site tracking wrapper (Ampli / server-side GTM) that enabled product analytics and Optimizely/Amplitude experimentation without manual element tagging—cutting manual effort by 50%.
• ▹Owned the GA360/GA4-to-BigQuery and Snowflake dbt modeling strategy, flattening nested event structures and joining offline call-center conversions to map the full subscriber lifecycle from lead to renewal.
• ▹Built executive Looker dashboards and cohort LTV/CAC models across segmented B2C subscriber plans to guide C-suite (CPO/CRO) budget allocation.

Architectural Challenge & Business Bottleneck

Full congressional bills run hundreds of pages of dense legal text. Citizens need an unbiased, personalized breakdown of how a bill impacts their household and community (ZIP/City/State), plus an NPS-style alignment score comparing their section-by-section votes against their Representative and Senators—without incurring runaway LLM compute costs.

Engineered Solution & Data Pipeline Topology

• ▹Engineered a Two-Tier Lakehouse-to-Storefront architecture: BigQuery (bill-analyzer-3ccad.discover_vote) stores legislative roll-call votes, legislator profiles, BLS/EIA economic indicators, and US Census ACS 5-Year demographics, syncing incrementally via watermark timestamps to Firestore.
• ▹Built OntologyLearner using Stage 1 fuzzy token matching (SequenceMatcher >= 0.70) + Stage 2 Gemini semantic verification to deduplicate demographic prompts across bills, paired with a cumulative localStorage voter profile (DemographicForm.tsx) that asks each question only once and auto-populates across future bills.
• ▹Implemented 3-Tier Hierarchical Community Impact Caching ({bill}_{zip} → {bill}_{city_state} → {bill}_state_{state}) with asynchronous granular ZIP upgrade and bulk 50-state pre-fetching.