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Jeff Malnick
Chief Financial Officer with extensive experience in finance and leadership roles
Jeff Malnick is a Golang aficionado, privacy and security maven, and engineering leader with an impressive record in distributed systems software engineering. He has worked for several tech companies, including Hiroad, Blueowl, and Hashicorp, where he served as Senior Engineering Manager for their Boundary product.
Malnick is a product of the Naval Postgraduate School and studied Computer Science. He also has a Bachelor of Arts degree from the University of California and has studied Computer Programming at Diablo Valley College.
Aside from his software engineering work, Malnick has also been involved in different organizations as an advisor and has served as CEO of Derailled Events.
In summary, Jeff Malnick is a renowned engineering leader with a proven track record in distributed systems software engineering, particularly in regulated industries. He's passionate about Golang, privacy, and security and has a diverse background from his different roles across various tech companies and organizations.
Highlights
It's that time of year again for the annual HashiCorp global conference at #HashiConf! This year the Boundary team is launching a long sought after feature: an embedded terminal within our multi-platform desktop client. Not only does this embedded experience mean you'll never have to leave the desktop client, but it enables us to fill in common commands that leverage Boundary's identity aware proxy, reducing a number of common workflow steps to make getting from point A to point B easier than ever. It also picks up your native terminal experience, so if you're like me and you want to fork a few tmux sessions directly inside your desktop client, that's now part of the experience.
Read about the embedded desktop terminal and more great new features in our latest blog post:
I always wondered what it would be like to interact with the data in HashiCorp Boundary using an #LLM. Over the weekend I decided to take that wonder to the keyboard and using some magic from tmc/langchaingo, I was able to put together a pretty quick POC and get some meaningful results asking OpenAI's #GPT-4 LLM to write syntactically correct SQL queries and interpret the responses.
It's a long ways from being production grade but was nonetheless super cool to see what the future holds for natural language interaction with relational data.
I want to note that this is an experimental learning project, and is not reflective of any product commitments to adopt AI in Boundary right now. If you're a Boundary user and happen to take this for a test drive, please keep that disclaimer in mind and feel free to reach out with any feedback!
