My expedition as an ML Summer Intern at DRDO 🚀

AADI JAIN
2 min readAug 22, 2022

--

It was the steepest learning curve for me and I am cock-a-hoop that I successfully did it. It was my first in-office internship, working under the Defence Research and Development Organisation(DRDO), and most importantly I learned the ‘work discipline’, not gonna lie, I had the best experience I could get.

It was very helter-skelter for me from getting a confirmation for an internship at DRDO, Delhi to getting migrated to ‘Ghaziabad’ from my hometown ‘Rishikesh’ at my uncle’s house.

Believe me, traveling from Ghaziabad to Delhi was a herculean task for me as almost 4 hrs were going on in traveling (home <-> office).

Although I cannot share the details of the project I worked on in brief but my project was based on Deep Learning more specifically related to Natural Language and Processing (NLP).

So, I will be sharing my learning resources and the study material I found over the internet after a lot of surfing and reading, some of them were also recommended to me by the scientist at DRDO.

Intro to Deep Learning: https://www.kaggle.com/learn/intro-to-deep-learning

This course is a boost for understanding the basic pipeline of Deep Neural Networks and DL Models.

I’ll recommend brushing up on some ML concepts before reading this, you can go through this: https://www.javatpoint.com/basic-concepts-in-machine-learning

So, one of the best communities, or better say platform on AI models is https://huggingface.co/ from here you can learn, search different listed models, or can also contribute.

As my problem statement is from the domain of NLP, Transformers are in the action!

Follow this: https://huggingface.co/course/chapter0/1

Getting started with seq2seq Models, Attention, and Transformers might be the toughest learning curve you may have ever seen. I recommend studying these two blogs, for better clarity and understanding of these topics.

-> https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/

-> https://jalammar.github.io/illustrated-transformer/

There is huge content available on the internet, look at what fits you best and learn. Make sure don’t hurry, remember things take time.

I would like to bestow my sincere gratitude to the mentors and scientists under whom I worked.

Yes, all for now. Looking forward for more such journeys.

Disclaimer: I cannot share anything internal information about the internship like the name of the lab, the identity of authorities, and the project I worked on.

Connect with me: https://www.linkedin.com/in/aadijain7102/

--

--

AADI JAIN
AADI JAIN

Written by AADI JAIN

A learner, who learn things and try to express my learning by writing it down. Trying to be a good engineer :)