Category: Technology

In our “Engineering Energizers” Q&A series, we examine the professional life experiences that have shaped Salesforce Engineering leaders. Meet Patrick Green, a Lead Member of the Technical Staff for Salesforce Engineering. Patrick supports the Project Sharing and Permissions (PSP) team at Tableau. Feature development plays a crucial role in their work, ensuring the smooth functioning… Continue reading Overcoming Complex Obstacles: Revealing Tableau’s Process for Creating New Features and Functionality

We’ve open sourced DotSlash, a tool that makes large executables available in source control with a negligible impact on repository size, thus avoiding I/O-heavy clone operations. With DotSlash, a set of platform-specific executables is replaced with a single script containing descriptors for the supported platforms. DotSlash handles transparently fetching, decompressing, and verifying the appropriate remote… Continue reading DotSlash: Simplified executable deployment

Slow build times and inefficiencies in packaging and distributing execution files were costing our ML/AI engineers a significant amount of time while working on our training stack. By addressing these issues head-on, we were able to reduce this overhead by double-digit percentages.  In the fast-paced world of AI/ML development, it’s crucial to ensure that our… Continue reading Improving machine learning iteration speed with faster application build and packaging

By Krishna Pandey and Scott Nyberg. In our “Engineering Energizers” Q&A series, we examine the professional journeys that have shaped Salesforce Engineering leaders. Meet Krishna Pandey, Director of Security Engineering at Salesforce. Based in Bangalore, India, his Application Security Technology (AST) team powers Salesforce’s source code security program, charged with using AI to detect and… Continue reading The Power of AI: Strengthening Application Security by Eliminating Secrets in Code

At Meta, the quest for faster model training has yielded an exciting milestone: the adoption of Lazy Imports and the Python Cinder runtime. The outcome? Up to 40 percent time to first batch (TTFB) improvements, along with a 20 percent reduction in Jupyter kernel startup times. This advancement facilitates swifter experimentation capabilities and elevates the… Continue reading Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta

By Yingbo Zhou and Scott Nyberg In our “Engineering Energizers” Q&A series, we examine the professional life experiences that have shaped Salesforce Engineering leaders. Meet Yingbo Zhou, a Senior Director of Research for Salesforce AI Research, where he leads his team to advance AI — focusing on the fields of natural language processing and software… Continue reading Inside AI Research: Conquering Complex Challenges to Power Next Generation Innovations