About

Infinite Slate is a consultancy dedicated to long term positive impact on humanity. Work that directly supports this mission is the primary focus, however work for financial ends with neutral long term impact will also be considered.

Expertise is in the following areas

Machine Learning and Artifical Intelligence

    • Industry Standard: Comparison of machine learning pipelines and algorithms with Slack, Palantir, Fivetran and Pixar

    • Pipeline: Optimize infrastructure, software and API design for data science and analysis, for training and publishing

    • Efficiency: Cost reductions through model introspection and algorithm evaluation

    • Release Time: Find bottlenecks in release process with impact-over-effort ratios 

    • Stakeholder Confidence: model introspection and intermediate layer analysis

    • Diminishing Returns: Asymptotic return optimization with model introspection

Architecture and System Design Review

    • Industry Standard: Comparison of architecture and design with those of Slack, Palantir, Fivetran and Pixar

    • What’s Out There Analysis: Evaluation of possible managed service tradeoffs

    • Cloud Vendors: Help finding the best vendor depending on needs

Organizational Structure

    • Industry Standard: Comparison of software and product orgs with Slack, Palantir, Fivetran and Pixar

    • Coordination Overhead: Analysis of coordination overhead bottlenecks

    • Engineering Efficiency: Granular evaluation of efficiency across org

People

Andy Dreyfuss (Principal)

Status: Currently at capacity but open to initial consult requests.

A Palantir, Fivetran, Pixar, Slack, and Cedar Alum, I’ve worked in software for over two decades, bringing in-depth knowledge of the system architectures, full stack designs and people organizations at all scales for all of the above. I approach problems topologically and top down, looking at the space surrounding the problem first, the interactions with business requirements as well as technical upstream and downstream dependencies, finding possible paths and natural solutions that meet the goals of the business. I help build a common picture of what we have and where we could go from here, applying a balance of industry standards and creativity to each problem.

My current work is in both the public and private sectors, applying machine learning to the problem of branching patient care towards an optimal outcome as early as possible in their journey through the system.