Verity
A self-correcting research agent. It drafts an answer, critiques what is missing, searches the live web, and revises the result with citations.
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Pipelines, batch systems, warehouses, and the applied AI work built on top of them.
10 projects
A self-correcting research agent. It drafts an answer, critiques what is missing, searches the live web, and revises the result with citations.
View on GitHubA conversational companion grounded in a curated mental-health knowledge base. Follow-up questions are rewritten for search, and crisis language is routed to lifeline resources.
View on GitHubA retail analytics pipeline on synthetic e-commerce data. Medallion layers take raw payments through to Looker Studio dashboards.
View on GitHubA batch pipeline that lands S&P 500 ETF data in S3, transforms it with Spark through medallion layers, and serves it in Superset.
View on GitHubKaggle sales data loaded with dlt, modeled in dbt on BigQuery, and orchestrated with Airflow.
View on GitHubDaily sector ETF ingestion with moving averages and returns, stored on S3 and shown live in Superset.
View on GitHubA funding dataset loaded into PostgreSQL and explored through a Streamlit dashboard, packaged with Docker Compose.
View on GitHubAffinity CRM deals and interactions ingested into PostgreSQL, with relationship warmth scores for follow-up.
View on GitHubChannel and video metadata processed into signals for content strategy and audience analysis.
View on GitHubLive weather data ingested on Google Cloud, stored, and transformed for downstream use in BigQuery.
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