Mukul Ranjan

Mukul Ranjan

Data Scientist

Meesho

Biography

I am a Data Scientist at Meesho, where I specialize in modeling Long-Term User Interactions and Product Quality. My current projects involve the application of advanced Machine Learning techniques, including Representation Learning, Natural Language Processing(NLP), Computer Vision, Distributed Tree-Based Methods, and Reinforcement Learning, to derive insightful analytics and predictive models.

Before joining Meesho, I worked at Qure.AI, Wadhwani AI, UIUC, UNSW Sydney, and IIST Trivandrum. I have had the honor of publishing my research in prestigious journals and conferences, including the ECCV, Natural Language Processing Journal(Elsevier) and PLOS ONE.

Interests
  • Vision-Language Models
  • Representation Learning
  • Natural Language Processing
  • Reinforcement Learning
  • Computer Vision
  • Information Extraction
  • Recommender Systems
Education

  • B.Tech in ECE, 2021

    IIT Guwahati

Experience

 
 
 
 
 
Meesho
Data Scientist
Meesho
February 2022 – Present Bangalore, India
Developed and deployed representation learning based model with more than 1.3B parameters to learn the long term interest of the users.
 
 
 
 
 
Qure.AI
AI Scientist
Qure.AI
December 2021 – February 2022 Bangalore, India
Developed Segmentation‐Assisted deep learning method for Stroke Severity Measurement.
 
 
 
 
 
UNSW, Sydney
Machine Learning Researcher
UNSW, Sydney
May 2021 – December 2021 Sydney, Australia
Used language models for finding the relationships between the two Ancient Indian texts ‐ Bhagavad Gita and Upanishads.
 
 
 
 
 
Wadhwani AI
Research Intern
Wadhwani AI
December 2021 – February 2022 Mumbai, India
Developed an E2E and MTL framework to diagnose the condition of Tuberculosis patients using radiological image data, Deep Learning based methods.
 
 
 
 
 
UIUC, Urbana-Champaign
Research Intern
UIUC, Urbana-Champaign
July 2019 – May 2019 Urbana-Champaign, USA
Developed a framework for the automated annotation of spectral tissue images using Mutual Information based Image Registration of FTIR and H&E images.
 
 
 
 
 
IIST, Trivandram
Research Intern
IIST, Trivandram
December 2018 – January 2019 Thiruvananthapuram, India
Worked on developing algorithms for single object Tracking.

Accomplish­ments

Meesho Panchayat Award, 2022
Meesho Dec 2022
See certificate
Undergraduate Samsung Fellowship Award 2021
Samsung Research & Development Institute Jan 2021
See certificate
Gold Medal in Inter-IIT Tech Meet, 2021
IIT Guwahati Jan 2021
Coursera
Probability and Statistics To p or not to p?
See certificate
Coursera
Python for Everybody Specializations
See certificate
Coursera
See certificate
Coursera
Machine Learning
Coursera Jul 2018
Machine Learning
See certificate

Recent Posts

How does Lasso regression(L1) encourage zero coefficients but not the L2?
We often read almost everywhere that Lasso regression **encourages zero coefficient, **and hence provide a great tool for variable selection as well but it is really difficult to get the intuition about this.
May 14, 2023 7 min read Machine Learning
Understanding HDFS Architecture
The blog explains the architecture of HDFS (Hadoop Distributed File System) which is used to store large data sets across multiple computers.
Mukul Ranjan
May 14, 2023 5 min read HDFS, Big Data
Understanding HDFS Architecture

Featured Publications

Rohitash Chandra, Mukul Ranjan
September, 2022 In PLOS One
Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita
Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita

We use advanced language models such as BERT to provide topic modelling of the Upanishads and the Bhagavad Gita. We then map those topics of the Bhagavad Gita and the Upanishads since it is well known that Bhagavad Gita summarizes the key messages in the Upanishads. We also analyse the distinct and overlapping topics amongst the texts and visualise the link of selected texts of the Upanishads with the Bhagavad Gita.
PDF Cite Code Dataset Project Poster Slides Source Document DOI

Recent Publications

Akshat Shukla, Chaarvi Bansal, Sushrut Badhe, Mukul Ranjan, Rohitash Chandra (2023). An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis.

PDF Cite Code Dataset Project Poster Slides Video Source Document Custom Link

Mukul Ranjan, Amrit Saha (2023). An Ultrasound Video-based AI-assisted Point-of-Care Tool for Tuberculosis Screening.

PDF Cite Code Slides

Ujjwal Upadhyay, Mukul Ranjan, Satish Golla, Swetha Tanamala, Preetham Sreenivas,, Sasank Chilamkurthy, Jeyaraj Pandian, Jason Tarpley (2023). Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement. ECCV-2022, Medical Computer Vision Workshop.

PDF Cite Code Slides

Mukul Ranjan, Chandan Govind Agrawal (2023). Old Movie Colorization Using Deep Learning Techniques.

PDF Cite Code Project Poster Slides

Popular Topics

AI Cultural Diversity Ancient Texts BERT Big Data Computer Vision Deep Learning Demo ECCV Gita HDFS Lasso Machine Learning Medical Imaging NCCT Scan NLP Regression Ridge Source Themes Thesis Upanishads