CV

Experience

Research Scientist, IBM Research, USA [March 2023 - present]
Research Intern, IBM T. J. Watson Research Center, Yorktown Heights, NY, USA [ Summer 2021, Summer 2022]
Bridging the gap between Symbolic planning and Reinforcement Learning.
Manager: Dr. Shirin Sohrabi
ML Intern, Turvo Inc., CA, USA [ Summer 2018 ]
Modeled a cost estimator that leverages the knowledge of the domain experts. Kokel et al. AAAI 2020 was motivated by the work at Turvo.
Senior Software Engineer, Amadeus Software Labs, Bangalore, India [ 2016-17 ]
Implemented efficient low fare search for Air Canada.
Associate Technology, Publicis Sapient, Bangalore, India [ 2013-16 ]
Provided content management solutions for enhanced digital presence.

Research Assistant, Starling Lab, UT Dallas, TX, USA [ Spring 2019 - Fall 2022 ]
Instructor, UT Dallas, TX, USA [ Fall 2021 ]
Designed and organized labs for an 8-Week course on Advanced Machine Learning for engineers from Vistra Corporation.
Teaching Assistant, UT Dallas, TX, USA [ Fall 2018 ]
CS6343: Artificial Intelligence (graduate level)
CS4365: Artificial Intelligence (undergrad level)
Research Assistant, IR Lab, DA-IICT, Gandhinagar, India [ 2012-13 ]
Worked on Sandhan, a multilingual search engine for 8 Indian languages. Including cross-lingual search.
Advisor: Prasenjit Majumder
Research Intern, Mobile Research Lab, NID, Gandhinagar, India [ Summmer 2011 ]
Developed a Point of Interest (POI) collector with Google maps for Android Smart Phones.
Advisor: Jignesh Khakhar

Doctor of Philosophy (Ph.D.) Computer Science [ Fall 2018 - Spring 2023 ]
The University of Texas at Dallas, TX, USA
Advisor: Prof. Sriraam Natarajan
Thesis: Beyond Data: Efficient Knowledge-guided Learning for Sparse and Structured Domains
Master of Science (M.S.) Computer Science [ Fall 2017 - Spring 2021 ]
The University of Texas at Dallas, TX, USA
Bachelor of Technology (B.Tech.) Information and Communication Technology [ May 2013 ]
Dhirubhai Ambani Institute of ICT (DA-IICT), Gandhinagar, India
Advisor: Prasenjit Majumder
Thesis: Language identification for short text in transliterated space

Assistant Electronic Publishing Editors for JAIR 2020 - present.
PC Member for CODS-COMAD 2024.
PC Member for AAAI-24 Student Abstract and Poster Program.
Reviewing papers for AAAI 2024
PC Member for Gen Plan Workshop at NeurIPS 2023.
Reviewed papers for NeurIPS 2023.
PC Member for AAAI-23 (main track as well as AI for social good track).
Co-organized workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) at IJCAI and ICAPS 2023.
PC Member for IJCAI Demo Track 2022.
Reviewed papers for ML Reproducibility Challenge 2021 Fall.
PC Member for Workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2022.
Reviewed papers for I Can’t Believe It’s Not Better (ICBINB) Workshop at NeurIPS 2021.
Reviewer for Data Mining and Knowledge Discovery Journal.
Volunteered at ICAPS 2021.
Volunteered at AAAI 2021.
Reviewer for Big Data Journal.
Reviewed papers for AAAI 2021.
Student volunteer at ICDE 2020.
Reviewed papers for CODS-COMAD, 2020 and SDM, 2020.
Helped organize meeting of Forum for Information Retrieval Evaluation (FIRE), 2018, 2013.
Conducted a lab on Information Retrieval with Terrier, an open source search engine, in MSR & IRSI Pre-FIRE workshop 2013 at Microsoft Research India.

Networking talk, Integrated Planning and Reinforcement Learning at Almaden Women’s Interest and Networking Group (AWING) at IBM, Jun 7, 2023.
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Invited talk, Integrated Planning and Reinforcement Learning for Compositional Domains at AI Seminar at OSU, May 26, 2023.
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Invited talk, Dynamic probabilistic logic models for effective task-specific abstractions in RL at Robotics Lab at the Brown University, Sep 16, 2022.
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Presented paper, Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion at IEEE 25th International Conference on Information Fusion (FUSION), Linköping, Sweden, Jul 5, 2022.
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Invited talk, RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstractions at Eleventh RBCDSAI Workshop on Recent progress in Data Science and AI, IIT Madras, India, Nov 17, 2021.
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Ph.D. mixer talk, Human Allied Artificial Intelligence at UT Dallas, USA, Sep 10, 2021.
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Invited talk, A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domain at AAIR Lab Spring Meeting, ASU, USA, Jan 22, 2021.

Our team won Hackathon at Amadeus in November 2016
Certified Lead Developer for Adobe Experience Manager (AEM) 6.0 and 5.6
Star Employee of Sapient Bangalore, awarded in 2015 for the work on Loblaws project in the United Content Workz vertical
Nominated and Recognised at Sapient for exhibiting the Core Value of Client-Focused Delivery
Ranked among top 15% performer of the 2013 batch at Sapient and rewarded accordingly
Student Representative in Disciplinary action Committee (2012-2013)
Deputy convener of Cultural Committee (2012-2013)
Elected as Deputy Convener of the Cultural Committee in 2012-13 at DAIICT
Elected as the first student representative in the Disciplinary Action Committee at DAIICT for academic year 2012-13