First part was talking about my experiences in terms of building backend pipelines, computer vision algorithms, 3D reconstruction concepts and general software engineering. The second part was more theoretical questions dealing with machine learning, mathematics, training models and linear algebra.
My flexibility with going for site deployments and testing.
Number of neurons in a neural network for a gray scale and RGB image?
Which project are you looking for? When can you start working?
Nothing really caught me off guard
How I deal with teamwork and failures
They asked me to talk about a project I’ve worked on, such as in a previous class.
What is your knowledge of PLC
Please descibe a large project you did and what kind of computer vision methods you used?
It's finals week. You are working during peak hours and 3 major things happen at the same time: the printer malfunctions from a student printing over 30 pages for their final paper, an instructor comes up to you and says all of their PCs (30 if you want a concrete value) in the classroom aren't working, and the bathroom on your floor is flooding out to the hallways. What do you do first? *or a similar scenario: they are just assessing your logic on prioritizing things
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