Niharika Sharma is a Senior Software Engineer for Nasdaq’s Machine Intelligence Lab. She designs systems that gather, process and apply machine learning/natural language processing technologies on natural language data, generating valuable insights to support business decisions. Over the past years, she worked on Natural Language Generation (NLG) and Surveillance Automation for Nasdaq Advisory Services. We sat down with Niharika to learn more about how she got her start in computer science and how she approaches challenges in her career.
Can you describe your day-to-day as a senior software engineer at Nasdaq?
My day-to-day work involves collaborating with Data Scientists to solve problems, ideating business possibilities with product teams and working with Data/Software Engineers to transform ideas into solutions.
How did you become involved in the technology industry, and how has technology influenced your role?
My first exposure to Computer Science was a Logo programming class that I took as a junior in high school. After that, I took a couple of coding classes for fun.
When it came to choosing a college major, my high school Mathematics teacher suggested I consider a career in Software Engineering. At first, I thought, “Programming?! That’s too geeky!”. I liked coding, but I never wanted to be that nerd who sits in a cube staring at a computer all day. For college, I chose to study Chemistry at Delhi University, but a few months into the course, I realized technology was where I belonged, and I eventually pivoted to Engineering.
A decade later, I admit that it was the best decision I ever made. I found the concepts and problem solving so engaging that after obtaining my degree, I took a leap of faith and moved to the U.S. to pursue a Masters in Computer Science from Northeastern University. In the final semester, I