Dentropy is the personal database for your life. Collect notes, blogs, wikis, etc. into a database that you can recall any tiny fact from years ago. All information is stored indexed as a knowledge graph, powering your AI chat sessions with real intelligence, symbolic reasoning.

I'm helping startups and larger companies with AI architecture. Engagements include LLMs, RAG architecture, and knowledge graphs.

Launched Fossil, a social media algorithm optimized for the user’s goals instead of “engagement” or “ad revenue”. Users read only the most interesting content and skip the rest, because the AI algorithms have already pre-sorted & categorized the content. Initial open source project launched in 1 week, from idea to working product. The paid service took 1 month and corporate organization & setup took longer. Azure & on-premise. Python+Rust, FastAPI, HTMX, SQLite, OpenAI, LLMs, embeddings, clustering, open source.

I built the product from zero to working product in 1 month and evolved through the onboarding of a diverse set of customers. Six weeks from idea to first customer onboarding. The platform is a highly configurable enterprise LLM chatbot to enable efficient outsourcing of customer implementations & feature requests. I was responsible for product, implementation, outsourcing and sales support. Managed customer relationships from the technical side. Set project timelines and scopes based on ROI for the customer.Azure. Python+TypeScript, React, FastAPI, PostgreSQL, OpenAI, Claude, Embeddings, Qdrant, PGVector, terraform, Docker.

Led two teams distributed across time zones to build the ML platform that supports ML-enabled products in the healthcare space. Grew the organization from 1 to 12 people. Managed customer relationships and milestones. Created alignment behind new business directions. Designed a reorg and provided architectural plans that eased inter-organizational tension. 95% of my time was management.Led a broad initiative to re-align teams and navigate changing organizational goals through acquisitions. Led another AI initiative to educate company-wide on effective AI usage and safe AI usage within healthcare regulator constraints.Azure. Python, Databricks, XGBoost, LightGBM, scikit-learn, Kubernetes, Docker, terraform.

Architect and tech lead for several teams within data engineering, ML engineering, product and customer-facing areas. Created a culture of operational excellence that stabilized a product and delighted customers. Solved problems, wrote code and mentored great engineers.Led a cross-functional team of data scientists, engineers & medical doctors to improve model explainabilty.Azure. Python, Databricks, XGBoost, LightGBM, scikit-learn, Kubernetes, Docker, terraform.

Launched AWS IoT and Amazon Sumerian.