Mukul Ranjan

Mukul Ranjan

Data Scientist

Meesho

Biography

Hello there!! I am a first year MS Student in Machine Learning at MBZUAI. Currenlty, I am working with Professor Zhiqiang Shen on improving the efficiency and reasoning capablities of LLMs, VLMs and T2I models.

Prior to this I worked as a Data Scientist at Meesho, where I worked on modeling Long-Term User Interactions and Product Quality. 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
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
December 2021 – February 2022 Bangalore, India
Developed Segmentation‐Assisted deep learning method for Stroke Severity Measurement.
 
 
 
 
 
UNSW, Sydney
Machine Learning Researcher
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
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
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
December 2018 – January 2019 Thiruvananthapuram, India
Worked on developing algorithms for single object Tracking.

Accomplish­ments

Meesho Panchayat Award, 2022
See certificate
Undergraduate Samsung Fellowship Award 2021
See certificate
Gold Medal in Inter-IIT Tech Meet, 2021
Probability and Statistics To p or not to p?
See certificate
Python for Everybody Specializations
See certificate
Coursera
Machine Learning
Machine Learning
See certificate

Recent Publications

(2023). Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement. ECCV-2022, Medical Computer Vision Workshop.

PDF Cite Code Slides