Pinkesh Badjatiya

pinkeshbadjatiya [at] gmail [dot] com | +91-720-774-6433

Resume | Google Scholar | dblp | LinkedIn | Github

I am currently working as an Applied Scientist 2 with the Search Technology Center India (STCI) AI Products team at    Microsoft (R&D) working on relevance and ranking systems for the PeopleAlsoAsk Experience. I work on large-scale NLP recommendation systems that show relevant questions to Bing users while maximizing user engagement & experience. I work on mining signals from massive interaction data at Bing scale, building large-scale ML models, utilizing Machine Learning to distill information, and deploying them with Web-ready latency (<10ms).

Prior to this, I worked with the Media and Data Science Research (MDSR) Lab - a BU embedded research group in Digital Marketing at    Adobe as a Machine Learning Researcher and Engineer 2, where I mainly focused on Computer Vision and Reinforcement Learning.

I am interested in artificial intelligence, natural language processing, machine learning, and computer vision. Much of my research is in Deep Reinforcement Learning (Deep-RL), Natural Language Processing (NLP), and training Deep Neural Networks to solve complex social problems. I am also interested in bringing these recent developments in AI to production systems.

I finished my MS by Research in Machine Learning with a focus in the domain of Information Retrieval and Extraction (IRE) from IIIT Hyderabad under the guidance of Prof. Vasudeva Varma (former Dean R&D, IIIT Hyderabad) and Prof. Manish Gupta (Microsoft, India). My thesis was encompassing the realm of Hate Speech Detection and Bias Mitigation in neural networks. Insights from my research work subsequently resulted in the formation of Project ANGEL which later garnered the Google AI/ML Research Award 2020. Other projects I worked on during my studies include Trust Inference in Social Network, Document Segmentation, Text Summarization and Project Sexism.

I also completed my B.Tech with Honours in Computer Science and Engineering from IIIT Hyderabad.

I feel fortunate to have worked with some of the amazing folks from both Academia and Machine Learning Research. Just to thank a few folks; Manish Gupta, Georgios Theocharous, Balaji Krishnamurthy, Jayakumar Subramanian, Mausoom Sarkar, Niyati Chhaya, and Vasudeva Verma.

I spend most of my time reading books. I also spend my spare time pursuing my childhood passion; following Astronomy, General Relativity, and Quantum Mechanics. Occasionally, I play piano (Youtube), listen to music, eat, drink, and sleep.

profile photo


Work Experience

Applied Scientist 2
October 2021 - Current
Microsoft

I am primarily working on building innovative NLP and Multi-Modal solutions for BING search using Machine Learning/Deep Learning techniques.

Machine Learning Researcher & Engineer 2
June 2019 - October 2021 (2 years, 4 months)
Adobe

I primarily work with Data Science, NLP, and Reinforcement Learning research. I also work towards building ML algorithms for production.

Machine Learning Research Intern
Jan 2019 - April 2019 (4 months)
Adobe

Working towards solving social dilemmas for Multi-agent setting using Deep Reinforcement Learning using Model-based Value functions. Extended a full-time offer.

Computer Vision Engineer
RemoteFreelance
December 2019 - April 2021
Fujitsu Labs

Software Engineer Intern
May 2018 - July 2018 (3 months)
Goldman Sachs

Designed an algorithmic solution using constraint optimization in java and scala. Used TDD with OOP concepts and Design patterns. Performed error analysis and deployed to production. Extended a full-time offer.

Data Analytics/Site Reliability Engineer Intern
Sep 2017 - Mar 2018 (7 months)
T-Hub Homepage

Developed analytics from the reports produced by ~280 co-working startups incubated at T-Hub. Analyzed the user traffic flows to improve the site experience and generate weekly statistics for internal-analysis using Google Analytics and Python

Google Code-In Mentor
Nov 2016 - Jan 2017 (3 months)
Google Code-In / MetaBrainz Homepage

Mentored students working on the ListenBrainz project. Tasks involved creating tasks of varying difficulty levels and evaluating their submissions.

System Administrator and Organizer
Jul 2016 - Jun 2017 (11 months)
Felicity Website

Felicity Threads is the annual technical fest of IIIT Hyderabad. I was part of the team responsible for maintaing the contest portals and the website for the fest. I was also a problem setter for the event Break-In CTF and

Google Summer Of Code (GSoC) Intern
April 2016 - August 2016 (4 months)
Google Summer of Code / Blog@MetaBrainz

Created a proxy submission Flask API compatible with Last.fm scrobblers. Added scrobbling support for desktop clients with support for tracking currently playing song in Redis.



Awards/Honors/Mentions

2021 10 patents being filed in US and other countries
2021 Promoted to ML Engineer 2 at Adobe (in 12 months)
2020 Featured in    Adobe Tech Blog! -- Blog
2020 Promoted to SDE-2 at Adobe (in 6 months)
2020 Project ANGEL | Google AI/ML Research Award 2020 Insights from my undergraduate research work subsequently resulted in the formation of Project ANGEL at IIIT Hyderabad which later garnered the Google AI/ML Research Award 2020 to my advisor.
2019 TheWebConf Student travel grant for attending TheWebConf ’19 conference in US.
2019 Microsoft Research (MSR) Travel Grant for attending TheWebConf ’19 conference in US
2018 Dean’s Research Award Awarded in semesters Monsoon 17 & Monsoon 18 for obtaining research publications during undergraduate studies.
2018 Dean’s Merit List for academic excellence Selected in Dean’s List in semesters Monsoon 15, Monsoon 17 & Spring 18. Awarded to Top 5% of the batch.
2018 ECIR-Grenoble Travel Grant for attending ECIR’18 conference in France.
2017 Ranked 3rd in the Big Data Challenge Department of Higher & Technical Education Government of Rajasthan, India 1741 teams participated from all across India. Awarded prize by the Vasundhara Raje, Chief Minister of Rajasthan
2017 Our work on HateSpeech featured in 10+ media outlets! -- Blog
2017 Best Poster Presentation Award at WWW'17 (Perth, Australia)
2016 Featured in MetaBrainz Blog!! -- Blog
2016 ACM-ICPC Chennai Regionals 2016 My team SourceCode ranked 80th in the 2016 ACM-ICPC Asia Chennai Regional Contest, 67th in the Asia-Chennai '16 Online Round and 107th in the Asia Amritapuri '16 Online Round.
2015 Ranked 2nd in Microsoft Code.Fun.Do Hackathon
2014 AIR 3313/1.4 million (All India Rank) in JEE-Advance
2014 AIR 7044/1.4 million (All India Rank) in JEE-Mains (State Rank-258)


Patents

Framework for Structured Prompt Building For a Generative Language Model
Pinkesh Badjatiya, Rajpal Kulhari, Aditi Gulati, Aditi Agrahari, Kishor Chamua, Thuli Nitoshe Chishi, Harendra Prasad Baji
(Submitted)
Optimal sequential decision making with changing action space
Pinkesh Badjatiya, Tanay Anand, Jayakumar Subramaniam, Sriyash Poddar, Georgios Theocharous, Balaji Krishnamurthy,
(Submitted)
Status-Quo Policy Gradient for Multi-agent Reinforcement Learning
Pinkesh Badjatiya, Mausoom Sarkar, Jayakumar Subramaniam, Abhishek Sinha Nikaash Puri, Balaji Krishnamurthy,
(Submitted)
High Utility Sequential Pattern Mining using Reinforcement Learning
Tanay Anand, Piyush Gupta, Pinkesh Badjatiya, Nikaash Puri, Jayakumar Subramaniam, Balaji Vasan Srinivasan, Chirag Singla, Rachit Bansal, Anil Singh Parihar
(Submitted)
Dynamic Non-Linear Interpolation of Latent Vectors for Semantic Face Editing
Pinkesh Badjatiya, Parth Patel
US Patent 17/454,645 (Filed)
Semantics-Aware Hybrid Encoder For Improved Related Conversations
Pinkesh Badjatiya, Tanay Anand, Simra Shahid, Nikaash Puri, Milan Aggarwal, S Sejal Naidu, Sharat Chandra Racha, Ganesh Palwe, Balaji Krishnamurthy
(Submitted)
SHERLock: Self-Supervised Hierarchical Event Representation Learning
Sumegh Roychowdhury, Sumedh A Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti
(Submitted)
TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Shashank Shailabh, Madhur Panwar, Milan Aggarwal, Pinkesh Badjatiya, Simra Shahid, Nikaash Puri, Sejal Naidu, Sharat Chandra, Balaji Krishnamurthy, Ganesh Palwe
(Submitted)
Entropy Based Synthetic Data Generation For Augmenting Classification System Training Data
Pinkesh Badjatiya, Nikaash Puri, Ayush Chopra, Anubha Kabra
US Patent 16/659,147 (Published)
Text Conditioned Image Search Based On Dual-disentangled Feature Composition
Pinkesh Badjatiya, Surgan Jandial, Pranit Chawla, Mausoom Sarkar, Ayush Chopra
US Patent 17/160,862 (Filed)
Text-conditioned Image Search Based On Transformation, Aggregation, And Composition Of Visio-linguistic Features
Pinkesh Badjatiya, Surgan Jandial, Pranit Chawla, Mausoom Sarkar, Ayush Chopra
US Patent 17/160,893 (Filed)


Research

I'm interested in computer vision, machine learning and its applications, and natural language processing (NLP). Representative papers are highlighted.

Understanding Bias in Hate Speech
Pinkesh Badjatiya
Tutorial Talk @ CODS-COMAD, 2022
CODS-COMAD 2022 Website / Slides
Status-Quo Policy Gradient in Multi-agent Reinforcement Learning
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy
Published at Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2022) 2022 Published at DeepRL Workshop, NeurIPS 2021
paper
Combating Online Hate Speech Roles of Content, Networks, Psychology, User Behavior and Others
Sarah Masud, Pinkesh Badjatiya, Dr. Amitava Das, Dr. Manish Gupta, Dr. Vasudeva Varma, Dr. Tanmoy Chakraborty
Tutorial Presented at WSDM, 2022 Tutorial Presented at ECML-PKDD, 2021
ECML-PKDD 2021 Tutorial / Tutorial-Website
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy
Accepted as Extended Abstract in AAMAS 2022
paper
SHERLock: Self-Supervised Hierarchical Event Representation Learning
Sumegh Roychowdhury, Sumedh A Sontakke, Mausoom Sarkar, Pinkesh Badjatiya, Milan Aggarwal, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti
Published at International Conference on Pattern Recognition (ICPR) 2022
paper
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval
Surgan Jandial*, Pinkesh Badjatiya*, Pranit Chawla*, Ayush Chopra*, Mausoom Sarkar, Balaji Krishnamurthy
* denotes equal contribution
Accepted at WACV, 2022
paper
Leveraging Style and Content features for Text Conditioned Image Retrieval
Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
Accepted at CVFAD - CVPR 2021
paper
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy
Published at IEEE International Conference on Data Mining (ICDM), 2020
paper
Towards Identification, Classification and Analysis of Hate Speech on Social Media
Pinkesh Badjatiya
IIIT Hyderabad, Master's Thesis, 2019
thesis
Multi-label Categorization of Accounts of Sexism using a Neural Framework
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma
Published at Empirical Methods in Natural Language Processing (EMNLP), 2019
paper
Stereotypical bias removal for hate speech detection task using knowledge-based generalizations
Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma
Published at The Web Conference (TheWebConf), 2019
paper
Attention-based neural text segmentation
Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta, Vasudeva Varma
Published at ECIR, 2018
paper / code
Deep learning for hate speech detection in tweets
Pinkesh Badjatiya*, Shashank Gupta*, Manish Gupta, Vasudeva Varma
* denotes equal contribution
Published at WWW, 2017 (Best Poster Award)
paper / Media Coverage


Academic Service

PC Chair
  • CODS-COMAD 2022
  • WOAH-EMNLP 2021
  • AAAI 2021
  • ICON 2019
Reviewer
  • AI-ML Systems 2024
  • ICCV 2021
  • CVPR 2021
  • AAAI 2021
  • CODS-COMAD 2021
  • WOAH-EMNLP 2020
  • ICWSM 2019
  • ICON 2019
  • ALW 2019
  • EMNLP 2018
IIIT Hyderabad
Graduate Teaching Assistant


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