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Firstly, finish your degree. For most employers, just checking off the degree is more important than exactly what it is. This is especially true for software engineering. You will have many, many coworkers who have degrees in physics or bioinformatics or mathematics and work as SWEs. Most of their stories will be exactly the same as yours, although "...but there weren't any good paying jobs so..." will be in the running. |
Good advice.
Listen to this.
Focus on finishing the degree, and if possible, get as good grades as possible.
That will open a lot of doors.
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To this comment:
I have switched from Physics to Deep Learning. This is more because of "getting to know myself better" than money.
I grew up being good at math (scorewise when little, and later, actually getting and understanding) and science. And I had a lot of biographies and a-little-harder-than pop-sci kind of science articles at home. I thought that I would become a Physicist and become a Professor.
College was a big disappointed. The beaurocracy aside, the college system relies on memorizing numerical problems, proofs, and regurgitating them during test.
And also, the field of Physics is highly saturated. It feels like all the stuff has been done. Need a field where I can contribute, rather than just watch passively.
In college, for the first time, I got to work in a real Electronics lab in my Physics major class. Absolutely loved the experience.
Reading theory by bigshots in books, and applying them with my own hands! Building stuff! That's when I first found out I loved building things and applying things on my own hand rather as much as, or more than I loved the ivory tower of pure theory.
Coupled with my frustration, I decided I will become a programmer because that is where I got to build things and not just regurgitate text.
My metor-friends (older) told me that Data Science was hot. Better get into that. Although they meant analysis type work, I soon transitioned to Deep Learning. Vision particularly.
I am on brink of publishing two research papers independently, and worked in two jobs where I developed Deep Learning systems.
I am very happy that I gave up Physics.
I may not even stay here. This transition has taught me to be less stringent on life's choices.
I have also learned that I don't particularly like Physics or Math or Deep Learning. I like esoteric things that not many can do, pay well, give intellectual kicks, opportunity to work with hands, and are math-y.