MS in Computer Science University of Massachusetts Amherst

I’m Jatin, an AGI Enthusiast with a strong desire to conduct research. My primary interests revolve around acquiring an abstract understanding of intelligence with the help of AI. This includes building SOTA algorithms from scratch, creating interpretable networks, and drawing analogies from neuroscience.

Currently pursuing my Master of Science in Computer Science at University of Massachusetts Amherst. Working on Mechanistic Interpretability and efficient Deep Reinforcement Learning for my first semester.

I’m one of the Google DSC Solution Challenge ‘21 Global Winner, where I created a system to help Blind and Visually Impaired navigate their surroundings. I have also interned at AdSkate, Inc as a ML Research Intern solving various problems in automated image analysis and Multimodal algorithms.

I have worked in various Machine Learning Domains such as MultiModal AI, MultiDomain AI, Computer Vision, Natural Language Processing, Reinforcement Learning, and Time series Analysis.

You can contact me at: nainani.jatin.0@gmail.com

And you can find my Resume here: CV

Some of my ongoing projects:

Mechanistic Interpretability for Language Models
Biologically Inspired Models and Computation
Continual and Lifelong Learning
Efficient Deep Reinforcement Learning

What’s new about me?

8/26/23 ⮕ I started my Master of Science in Computer Science at University of Massachusetts Amherst!
7/25/23 ⮕ Completed my 6 month internship with AdSkate, Inc. I worked as a Machine Learning Research Intern, find more details in my Experience Section.
5/25/23 ⮕ Completed my Bachelor of Technology in Electronics and Telecommunication Engineering with a CGPA of 9.51/10 (3.89/4). My thesis will be public soon!
5/5/23 ⮕ Paper published in Springer Proceedings, link can be found here: https://link.springer.com/chapter/10.1007/978-3-031-31164-2_36.
4/30/23 ⮕ Preprint of my project on Local Image Search through text - Zero Search is now Available here: https://arxiv.org/abs/2305.00715
2/13/23 ⮕ One of my papers just got published in IEEE, link can be found here: https://ieeexplore.ieee.org/abstract/document/10039535.
12/3/22 ⮕ My paper in ICIVC 2022 was awarded the Best Paper for the category of Intelligent Systems.
11/27/22 ⮕ I just presented my paper in 2nd International Conference on Intelligent Vision and Computing (ICIVC 2022). I had a wonderful time there, got to meet some amazing professors and experts in the field.
9/10/22 ⮕ Organised and hosted a workshop on Reinforcement Learning as the lead of SMLRA. Find more on my Teaching Tab.
8/25/22 ⮕ Completed my internship in AdSkate under Dr. Shreyas Venugopalan. I worked on Multilingual Article Categorization, using Word embedding and Ensemble models. We tackled problems in NLP, Hierarchial Text Classification, Big Data Analysis and API Handling.
2/16/22 ⮕ Completed a certification from IIT-Madras on Demystifying the Brain. Through this I was able to upskill myself in the area of computational neuroscience.
8/26/21 ⮕ My team was awarded as one of the three winners in Google’s Developer Student Clubs 2021 Solution Challenge for our project Eye of God. This aim of the competition was to create a fully developed project that could create a positive impact on the community through the UN’s 17 Sustainable Development Goals. Youtube vid of our demo: https://www.youtube.com/watch?v=mmprcC3SH_A