Robert T.

Most companies are rushing to deploy AI agents and copilots on top of data stacks that were never designed to support them. The result: agents that hallucinate, dashboards that contradict each other, and pipelines no one trusts. I'm Robert and I run Brainforge, the leading context engineering firm. I help enterprise services and healthcare organizations fix their foundations — building governed, semantic data systems that make AI reliable, not just impressive in demos. I have a track record of 30+ successful projects - as a data architect and AI strategist with 10+ years of experience. What I Build 1. Data Core & Warehouse Architecture Raw → staging → marts pipelines in Snowflake, BigQuery, and Azure. Clean, version-controlled foundations that agents and dashboards can both depend on. Built with dbt from day one. 2. Semantic Layer & Metric Standardization One definition of revenue, retention, CAC, and LTV — enforced across every dashboard, agent, and workflow. dbt metrics, dimensional logic, verified queries, and access policies so three AI agents don't take three different actions on the same data. 3. Event & Product Analytics Infrastructure Mixpanel, Amplitude, and Segment implementations with clean, versioned schemas. Identity resolution, funnel modeling, and GA4 migration. Built for AI-native products where users interact through agents, prompts, or chat — not just button clicks. 4. Context-as-a-Service for AI Agents Packaged domain context — business rules, semantic definitions, agent skills, approval workflows, and golden evaluation sets — so your agents operate with governed autonomy, not vibes. I structure context across time horizons: moment, session, journey, relationship, and company. 5. Activation, Decisioning & Reporting Audience syncs to CIO, Braze, and Klaviyo. Multi-touch attribution. Lifecycle segmentation. Dashboards in Looker, Sigma, Tableau, and Power BI backed by warehouse-modeled metrics — not one-off queries. Executive scorecards that show what is changing and why. 🤝 Why Clients Hire Me 1. I don't just build pipelines. I build the data systems that make AI trustworthy and scalable 2. I bring proven frameworks: SOMA, AARRR, semantic layer governance, context graph design, and golden eval sets 3. I build once and build right: standardized, documented, and production-ready from day one 🛠 Stack Data Modeling & Warehouse: dbt, Snowflake, BigQuery, Azure, Apache Spark, Airflow, Dagster Product & Event Analytics: Segment, Mixpanel, Amplitude, PostHog, GA4, GTM AI & Context Layer: Semantic layer design, context graph architecture, agent skill design Activation & CDP: Hightouch, Census, CIO, Braze, Klaviyo, HubSpot BI & Reporting: Omni, Looker, Tableau, Sigma, Power BI, Hex Languages & Cloud: Python (Pandas, Polars, Scikit-Learn, TensorFlow), SQL, AWS, GCP, Docker, CI/CD 💬 Let's Talk If - You are deploying AI agents or copilots and your data foundation isn't ready to support them - Your dashboards show different numbers depending on who built them - You are done duct-taping GA4 and want event data that drives real growth - You are building an AI-native product and need to measure activation, trust, and value — not just clicks - You want clean, governed, semantic data systems your whole company can actually use