I was undecided about my field for the longest time. I was interested in exploring as many subjects as I could to figure out what I would enjoy doing the rest of my life.
In undergrad I explored both hardware and software and I still could not decide. I started working on a lot of Robotics projects and that is when I felt like a complete engineer. I could see my efforts translate to real world applications which tied together my hardware, software and signal processing skills together. I soon realized it was not about choosing one field over another, it was about exploring everything you love. Everything comes together when you start working as an engineer. It gave me better perspective about the problem and what the solution needed to be.
My learning never stops, after I completed my Masters in Computer engineering, where I specialized in AI, I continued to take online classes on Coursera. For an engineer, what is current is what is relevant. I choose to be a Deep Learning scientist because I felt like I could make impossible things happen. I could be responsible about the good we choose to do in this world and make everyone's life better and safe.