I'm a Masters student in the ECE (Electrical and Computer Engineering) student at UCLA. Previously, I was a Pre-doctoral Researcher at Google Research, India where I worked towards improving image understanding, and making image/video generation more efficient under the guidance of Dr. Prateek Jain and Dr. Sujoy Paul . I am broadly interested in multimodal learning, and excited about domain adaptation and few shot learning.

I'm a B.Tech Computer Science graduate from IIIT-Sri City. Before joining Google, I worked as a Machine Learning Engineer at Tata Consultancy Services (TCS), Hyderabad where I worked on building ML models with AutoML toolkits for output explainability. I interned for a semester at LimeChat as an AI software developer, where I was involved in designing contextual chatbots using Level 3 AI. In the summer of 2020, I worked on unsupervised segmentation of fish in challenging underwater scenarios under the guidance of Dr. Brejesh Lall at IIT, Delhi. In my sophomore year, I got an opportunity to explore a little bioinformatics by working on the problem of prediction of secondary structure of RNA, under the guidance of Dr. S. Satapathy at Tezpur University.

I was the Intel AI Student Ambassador for my institute. As a student ambassador, I assisted juniors with carrying out AI projects involving Intel's AI toolkits, and conducted sessions for the same. I also worked on a project which involved reducing the frame rate in videos followed by frame reconstruction for efficient (internet) data usage.

When I'm not in front of a computer screen, I am mostly playing my guitar and singing. I am also an avid table tennis player and enjoy reading books during leisure.
Currently reading:

• The Interpretation of Dreams - by Sigmund Freud.
  
• A Brief History of Intelligence by Max Bennett.
  

Email:
GitHub  /  Google Scholar  /  Twitter  /  LinkedIn

We use a soft voting ensemble of multilingual models, viz. Distil-mBERT and ULMFiT for this shared task hosted in EACL 2021. Our solution ranked 1st for the Malayalam dataset and ranked 4th and 5th for Tamil and Kannada, respectively.

We try to predict the most stable secondary structure(s) of an RNA sequence using concepts from Graph Theory to maximise base pairs, leading to minimum entropy structures. Awarded the best paper at ICCCIoT, 2020.

We introduce a novel code-mixing index (CMI) based focal loss which circumvents code-mixing in languages and class imbalance for the task of offence detection in Dravidian languages.

Experience

Teaching Experience

• Teaching Assistant (Advanced Data Structures & Algorithms) - (Sept 2019 to Dec 2019)
  Assist 3rd year undergraduates in solving assignment problems during lab sessions. Frame questions for solving during tutorial sessions and resolve doubts wrt class lectures.

• Teaching Assistant (Data Structures & Algorithms) - (Jan 2020 to Apr 2020)
  Assist 2nd year undergraduates in solving assignment problems during lab sessions. Conduct tutorials for doubt clarification.

Projects

• Content Based Image Retrieval
  Apply Deep Learning based Computer Vision techniques for searching digital images in large databases.
  

• Gringotts
  Provide a vault to securely store secrets like passwords, keys (GPG/SSH), securely transfer data among people etc.
  [Code]   [Medium]
  

• StackOverFlow API-recommender
  Provide an API recommender for Java APIs for questions asked on StackOverflow.
  [Code]
  

• Speech Dereverberation
  A system to remove reverb(echo) from sound signals by predicting the reverb’s contribution in the present signal.
  [Code]
  

• Reads For You
  A book recommendation system using user-based collaborative filtering.
  [Code]
  

This website template is from Jon Barron.