Generate Questions for [2024-01-25]: Chris Drake / University of South Carolina

[ZekeAranyLucas]

Overview

We need to create a list of questions for our guest speaker Chris Drake attending on 2024-01-25.

Action Items

• Send issue to Engineering Slack channel and ask Engineering members to write their questions in the comments.
• Send format of talk to guest
• Collate the questions into a list of unique questions (non-duplicated questions).
• Update Wiki

Resources/Instructions

Slack Announcement

Chris Drake will be visiting the Engineering Community of Practice on Jan 25 at 6pm PST!

Topic: Fireside chat about non-traditional career paths (how to blend opportunities and motivations)

Please post your questions in this #87

About: Chris is a seasoned software developer and intelligence analyst with more than 20 years of building applications that real people use at Microsoft, US Army, Google, and currently at University of South Carolina, where he is actively involved in the NiiVue project.

LinkedIn

We will be collecting questions until the end of day : [Date of last day]

Thank you!
Engineering CoP co-leads

Speaker Bio

Chris Drake, a seasoned software developer and intelligence analyst, has produced a wide range of software as well as valuable and actionable analysis. As a full-stack developer with experience in cloud application development with Azure, AWS and Google Cloud, Chris has contributed to Microsoft, CJSOTF, US AFCENT, Google, and most recently, the University of South Carolina where he is actively involved in the NiiVue project. Remaining at the forefront of the ever-evolving tech landscape, Chris embodies innovation and excellence in his diverse and influential career.

[ZekeAranyLucas]

• What are some pivotal moments in your career? How did you know what to do? What did you learn? What would you tell your past self now?

[freaky4wrld]

I have been going through the the NiiVue project, it's quite tempting to see the work you are doing there, in the past I've successfully failed in creating a local copy of already deploying project regarding Liver-Segmentation, it requires a high gpu-demand, plus you are trying to host it for web as well.

Main question: So what kind of ways and architecture you are implementing in your project that can make it run smoothly....... as of my knowledge the nifti and dicom files are very heavy, how do you tend to work with those on the web, as most of the data shared on web is json content.

Follow up: I'm in early stages of my career, maybe with a very limited scope and knowledge, if you were me and wanted to work on the project like yours as a novice, what would you do, and how would you approach people as you might have done in the past when you are switching from army to applying for a tech job/project ?