The Vision
Benjamin Bengfort, Ph.D.
Founder/CEO
Dr. Benjamin Bengfort is the co-founder and CEO of Rotational Labs, where he orchestrates the integration of innovative machine learning techniques with advanced distributed computing systems. A seasoned expert in systems engineering, programming, and data science, he has a proven record of developing AI-driven solutions that support globally distributed data architectures and address the complex challenges of multi-region organizations.
Under his leadership, Rotational has focused on not just the implementation but also the responsibility of participating in an AI driven economy; a believer in open source, Dr. Bengfort pays special attention to the ethics and outcomes of AI, ensuring humans are at the center of our solutions.
He is the co-author of Applied Text Analysis with Python (2018, O’Reilly) and Data Analytics with Hadoop (2016, O’Reilly). Dr. Bengfort earned his Ph.D. from the University of Maryland focusing on planetary scale distributed systems.
Blog Posts Written by Benjamin
HMAC Verification Tokens
In this post, we explore sending a secure message to a user that doesn’t have an account on your system and therefore cannot be authenticated. We’ll explore the use of HMAC verification tokens that you can email to a recipient …
Nov 6, 2024
Data Access Controls for Generative AI
Anyone who has worked on a POSIX system is used to fine-grained data access rights for files and directories. In a world of generative AI, do we need a new permissions model for files used to train LLMs and serve live inferences?
Aug 26, 2024
AI isn't Chatbots, it's an Interface
Why is everyone so excited by AI? Chatting with a bot isn’t the game changer. Instead, AI represents a new method of interacting with complex computing resources and data – one that is far more accessible than previous methods.
Jul 17, 2024
Compression vs Cryptography: What Comes First?
Data encryption and compression are heavyweight algorithms that must be used with care in performance intensive applications; but when applying both mechanics to the same data, which should come first?
Oct 31, 2023
How to Dockerize Python Data Science Processes
Docker is great, but most tutorials are geared toward devOps users, not data scientists. If you’re building long-running processes for NLP, ML, or generative AI, here’s a blueprint for Python Docker containers for data science!
Sep 14, 2023
Speeding Up Go Tests
It can be frustrating as a developer to wait for a large test suite to run, particularly when you have to run the suite multiple times in development. In this post, we’ll explore parallel and short modes with Go tests in an effort to …
Jul 30, 2023
- 1
- of
- 3
