•1 min read•from Data Science
Radar engineer upskill
Hello all,
I’m a radar signal processing engineer (point clouds, spectrum analysis, lots of legacy debugging) and want to move into applied ML for robotics. I have a masters in robotics and AI.
I’ve got solid math + sensor data experience, and access to real data plus an internal repo with ML projects.
My main question: is it worth spending time re-implementing those ML algorithms myself plus doing side projects, or is not worth it.
I can dedicate 2 hours a day for the projects. I am very serious about leaving, but i lack direction.
Would you:
- Stay and build projects on the side?
- Try to pivot internally?
- Or consider something like try to do research with a professor?
If you’ve made a similar move, what actually helped you break in?
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