I set out into the summer with what I thought were some fairly broad and undefined learning goals: I wanted to gain experience doing machine learning, and I wanted to experience a professional environment, particularly a software development-oriented one.
Although the remote nature of my internship did not allow me to become as intimately acquainted with office life as I would have liked, I was still able to learn a lot about what day-to-day interactions are like, what working as a team in this kind of setting is like, and, most importantly, about machine learning. Being given the opportunity to push my own boundaries regarding this particular skill was really rewarding, as these are industry skills that will greatly benefit me going forward.
This internship provided clarity in terms of my career interests. I have been interested in software development for a while, and this was the perfect opportunity for me to see how my academic interests would transfer to the real world. I have learned how to interact with both peers and supervisors in a professional setting, which will greatly benefit me in the near future, as I progress along my professional journey.
To a student intern who was interested in obtaining a position with my host organization, I would advise them that even if things seem like they’re moving fast at first, it’s only a matter of time before your level of relative unfamiliarity wears off. Once I figured out my place and role on the team, I was able to quickly move forward with my personal project, which furthered my understanding of what I was supposed to do.
To someone interested in a computer science internship, I would advise them to keep their head above the water. The field itself moves fast, and changes can be both imperceptible and sudden at the same time. There is enormous demand for computer science jobs and interns, so if you pay attention and are competent, plenty of incredible opportunities will come your way.
This summer, I’m most proud of the contributions I’ve made at Image Insight. I had hoped to bring new insights and methods of analysis by reinventing their wheels, and I think I’ve done precisely that. One regret I have is that I was not able to fully finish one component of my assignment using machine learning, and had to implement a statistical approach to overcome this roadblock. Yet, by and large, this has been a summer of exploration and of learning. I’m very proud of my learning and contributions, and excited to take this experience with me moving forward.