Hi, I'm Neeraj Kumar

Senior Machine Learning Engineer at Adobe

PhD from IIT Delhi | B-Tech from IIT Kharagpur

About Me

I am currently working as a Senior Machine Learning Engineer at Adobe, focusing on cutting-edge research and applications in NLP, Computer Vision, and Multimodal AI. I completed my PhD at IIT Delhi, where my thesis explored the impact of normalization in Multimodal AI, and hold a B-Tech in Electronics and Electrical Communication Engineering from IIT Kharagpur (2014).

My research has been published in top-tier conferences and journals including CVPR, IJCAI, Interspeech, ECML PKDD, IEEE TAI, IEEE TASL, ICONIP, and ITU J-FET. I hold 10 patents in AI and machine learning, and actively contribute to the research community as a reviewer and mentor.

Research Interests

Generative AI
Agentic Workflows
Natural Language Processing
Computer Vision
Speech AI
Information Retrieval
Multimodal AI
Machine Learning
Data Mining

Work Experience

Senior Machine Learning Engineer

Adobe Systems Private Limited

September 2025 - Present

Noida, India

Staff Data Scientist

Juniper Networks

May 2023 - September 2025

Bangalore, India

Staff Machine Learning Engineer

Drishti Technologies (Acquired by Apple)

April 2022 - May 2023

Bangalore, India

Senior Machine Learning Scientist

Hike Private Limited

October 2019 - April 2022

Delhi, India

Data Scientist

Easy Rewardz Private Limited

February 2018 - October 2019

Gurgaon, India

Civil Services Preparation

UPSC Exam Preparation

June 2015 - February 2018

India

Data Engineer

Wincere Solutions Private Limited

June 2014 - June 2015

Noida, India

Publications

Kullback-Leibler Divergence Based Regularized Normalization for Low Resource Tasks

IEEE Transactions on Artificial Intelligence, 2023

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KL Regularized Normalization Framework for Low Resource Tasks

ECML PKDD, 2023

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Style Description based Text-to-Speech with Proportional Prosodic Layer Normalization based Diffusion GAN

arXiv, 2023

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Zero shot Normalization Driven Multi-Speaker Text to Speech Synthesis

IEEE Transactions on Audio, Speech, and Language Processing (TASL), 2021

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Multi Modal Normalization

International Conference on Neural Information Processing (ICONIP), 2021

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One Shot Audio to Animated Video Generation

ECML-PKDD, 2021

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Few Shot Activity Recognition Using Variational Inference

IJCAI Workshop on Deep Learning for Human Activity Recognition, 2021

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Enhanced Shared Experiences in Heterogeneous Network with Generative AI

ITU Journal on Future and Evolving Technologies (ITU J-FET), 2021

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Robust One Shot Audio to Video Generation

CVPR Workshop on Deep Vision, 2020

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Patents

1.

Text To ElasticSearch (TextToES) - US patent filed - Juniper Networks

2.

Method of Generating an Animated Video and System Thereof

3.

A Systems to Recommend Actions based on Shared Experience and Method Thereof

4.

A System of to allow users to decorate and enhance virtual room together and method thereof

5.

A method and device for creating a personalised video of a user

6.

A system for Intelligent Data tagging and method thereof

7.

A system and method of building schedule of shared experiences for matched users or couple

8.

A method and system for generating the hairstyle vector

9.

Method and System for automatically generating a video based at least on a context

10.

Method for generating virtual content with unique hairstyle and device thereof

Achievements & Service

🎯

PC Member at ML-DE Workshop @ ECAI 2024

📝

Reviewer for top ML conferences: Neurocomputing 2021, CVPR 2021, ICCV 2021

🏆

Awarded travel grant for presenting at Interspeech 2021

👨‍🏫

Project guide for IRIS National Fair 2021

Invited Talks

Data Science & SDE Career Blueprint

Skill Sync '25, SAU ACM Student Chapter, South Asian University

Invited speaker sharing industry expertise, career journey, and practical guidance on Data Science and Software Development careers

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LLM based Autonomous Agents

Artificial Intelligence in the Next Generation and Beyond Workshop, IIT Delhi

Featured speaker and panelist discussing autonomous agents and their applications in developing next-stage applications

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AI Blogs

Let's Connect

I'm always open to discussing research collaborations, innovative AI projects, or opportunities to advance the field of machine learning.