Kiran Purohit

Kiran Purohit

Machine Learning Research Scientist

Adobe

Biography

I am a Machine Learning Research Scientist at Adobe. I completed my Ph.D. in the Department of Computer Science and Engineering at IIT Kharagpur, under the supervision of Prof. Sourangshu Bhattacharya, where I was a member of the Complex Networks Research Group (CNeRG).

Research - I am broadly interested in Machine Learning, with specific interests in Scalability, Explainability and Data-centric AI. I have applied these techniques on problems in Computer Vision and Natural Language Processing. My research involves subset selection for efficient and robust deep learning. I would be happy to talk about recent advancements around LLMs.

Interests

  • Machine Learning
  • Data-centric AI
  • Subset Selection
  • Scalable AI
  • Trustworthy AI
  • Explainable AI

Education

  • PhD in Computer Science and Engineering, 2020 - 2025

    Indian Institute of Technology Kharagpur

  • M.Tech in Computer Science and Engineering, 2018 - 2020

    National Institute of Technology Durgapur

News

Recent Updates

Publications

List of all publications till date

Quickly discover relevant content by filtering publications.

Sample Efficient Demonstration Selection for In-Context Learning

The in-context learning paradigm with LLMs has been instrumental in advancing a wide range of natural language processing tasks. The …

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning

Answering reasoning-based complex questions over text and hybrid sources, including tables, is a challenging task. Recent advances in …

A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs

Deep convolutional neural networks (CNNs) have achieved impressive performance in many computer vision tasks. However, their large …

A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning

Federated Learning systems are increasingly subjected to a multitude of model poisoning attacks from clients. Among these, edge-case …

Accurate and efficient channel pruning via orthogonal matching pursuit

The deeper and wider architectures of recent convolutional neural networks (CNN) are responsible for superior performance in computer …

COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model

COVID-19 is a deadly and highly infectious pneumonia type disease. RT-PCR is a proven testing methodology for the detection of …

Measuring the Degree of Suitability of Edge Detection Operators Prior to an Application

Unlike image restoration, image enhancement techniques are found to be subjective in nature as the appearance of an output image …

Recent Talks

Application of Subset Selection in Robust and Efficient Machine Learning @ C. V. Raman Global University (CGU), Odisha 2025

Answering reasoning-based complex questions over text and hybrid sources, including tables, is a challenging task. Recent advances in …

Retrieval-based Language Models and Applications @CNeRG Reading Group

Retrieval-based language models (LMs) have shown impressive performance on diverse NLP tasks. In this tutorial, we will provide a …

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning @EMNLP 2024

Answering reasoning-based complex questions over text and hybrid sources, including tables, is a challenging task. Recent advances in …

A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning @ECAI 2024

Federated Learning systems are increasingly subjected to a multitude of model poisoning attacks from clients. Among these, edge-case …

Application of Subset Selection in Efficient Machine Learning @IBM Maitreyee Research Showcase 2024

Deep convolutional neural networks (CNNs) have achieved impressive performance in many computer vision tasks. However, their large …

Experience

Intern and Job Experiences

 
 
 
 
 

Machine Learning Research Scientist

Adobe

Jun 2026 – Present Bengaluru, Karnataka
 
 
 
 
 

Senior Researcher

Fujitsu Research

Sep 2025 – Jun 2026 Bengaluru, Karnataka
 
 
 
 
 

Research Intern (PhD)

Adobe Research

Jun 2025 – Sep 2025 Bengaluru, Karnataka
 
 
 
 
 

Ph.D. Research Scholar

CNeRG Lab, CSE Department, IIT Kharagpur

Sep 2020 – Sep 2025 Kharagpur, West Bengal
Under the Supervision of Prof. Sourangshu Bhattacharya
 
 
 
 
 

M.Tech

NIT Durgapur

Aug 2018 – May 2020 Durgapur, West Bengal
M.Tech in Computer Science and Technology
 
 
 
 
 

Trainee

DRDO Dehradun, Uttrakhand

Jun 2016 – Jul 2016 Dehradun, Uttrakhand

NETWORK DOCKET MANAGEMENT SYSTEM

Responsibilities include:

  • Understaning ASP and Oracle.
  • Developing a website for automation of complaints registered.

Contact

  • Adobe PTP BAN2 (New Tower), Kadubeesanahalli, Bengaluru, Karnataka 560087
  • Enter PTP BAN2 and take the lift to 10th Floor for ASML Firefly.
  • Weekdays from 10:00 am to 5:00 pm
  • Book an appointment
  • DM Me