Philips – Nimay Gupta

Hey! This is Nimay Gupta, I’m from the CSE department and I’ve recently completed my second year of B. Tech. Here is a glimpse of my 2020 summer experience at Philips Innovation Campus, Bangalore as a Research Intern. I got selected for this internship through PT-cell in October 2019. The interview was telephonic and the interviewer discussed a few relevant projects from my resume, my knowledge of programming in C++ and Python, and a bit about the work profile if I were selected. It was a two-month-long internship (sadly [spoiler alert] obviously a work from home internship).

Feb 2020: cases of Covid-19 start appearing in India

March 2020: colleges across the country instruct students to go home

Soon we had realised that all the things we had planned for our summer are going to be harshly affected.

With the semester being ended abruptly, and not much to do because of the lockdown, I had a lot of free time. Hence, I and the other two interns from IITB collectively decided to ask our POC at Philips if the internship could be started earlier than what had been planned. We were also unsure whether the internship was going to still hold or not owing to the speculations about an upcoming recession. But they replied and agreed to start our internship from mid-April.

The work basically revolved around the application of Deep Learning and AI to the healthcare systems that Philips provides. Due to the pandemic, this had to be a complete work from home experience rather than physical interaction which would certainly have been much more efficient. There were a lot of drawbacks, if we had been present at the campus we would have had access to the facilities in the Research Labs but unfortunately, it was not possible this time. Even modest-sized deep learning models require GPUs to train on and I did not have a good one in my laptop, so I worked on Google’s Colab, an online computation solution.

My makeshift working corner

The work:

All the research interns were divided into teams and were assigned mentors to guide us through our work. I have quite a fascination for images, both from the perspective of photography and computer science, and this internship gave me a good starting point to explore into the field of computer vision. Having no sound background in machine learning, I started reading about Deep Learning and Convolutional Neural Networks as soon as I received confirmation that our internship would be starting soon.

My projects were based on real-time medical imaging of fetal ultrasound scans. Our job as research interns involved more ideation rather than implementing mainstream algorithms. For this, I had to review a lot of literature on deep learning in computer vision. And this has definitely augmented my interest in this field. I had to come up with an object detection algorithm for the obstetric scans which could work in real-time and should also have orientation capability. For the next project, I had to also read up about CPU/GPU architectures to achieve multi-model pose estimation from a single neural network model. My mentors were really helpful throughout and the work environment was also extremely friendly.

To conclude, I’d like to say this was a great opportunity for me to explore, from a researcher’s perspective, a field that I might pursue further. Thank you for reading! I hope this helped you in some way. Peace!

6 months ago