Curriculum Vitae

Ph.D. in Computer Science
Arizona State University

• GPA: 4.0 (4.0 scale).
• Advisor: Prof. Siddharth Srivastava.
• Thesis: Data-Efficient Paradigms for Personalized Assessment of Taskable AI Systems.

M.Tech. in Computer Science & Engineering
Indian Institute of Technology Guwahati, India

• GPA: 9.07 (10.0 scale).
• Advisor: Prof. Pradip K. Das.
• Thesis: Resource Usage Analysis for Speech Recognition Techniques.

B.E. in Information Technology
Shri Vaishnav Institute of Technology & Science, India

• Capstone Project: Smart Analyzer - Predict and Cache Webpages based on Usage.

Postdoctoral Associate
Massachusetts Institute of Technology.

• Working in the Interactive Robotics Group at CSAIL and AeroAstro, MIT.

Graduate Research Associate
Arizona State University.

• Investigating the minimal set of interfaces in an AI system that would enable a user to assess and understand the limits of its safe operability.
• Developed a framework which generates interrogation policies to derive the human interpretable model of an autonomous agent.
• Reduced the STRIPS-model comparison to a planning problem which enabled identifying if two models are not same.
• Modified FF-planner to take PDDL models, initial state, plan as input, and give the final state as output.
• Co-designed the experiments showcasing possible use-case of an NSF project on training lay people to use adaptive AI systems which are safe, robust, and reliable.

Research Scientist Intern - AI
Meta.

• Working on intersection of AI and Reality Labs.
• Developed a proof of concept system for curriculum personalization using sequential decision making.

Storage Efficiency Developer
NetApp Inc.

• Workload Prediction: Predicted workload on a storage volume based on I/O patterns for All Flash systems. This helped in optimizing data storage and management while keeping the nature of data private to the users.
• File and Volume Clones: Developed features and managed issues related to file and volume clones on UNIX-based NetApp proprietary WAFL file system so as to improve the storage efficiency of enterprise data servers.
• Co-developed a file system component which prevented data loss if files and volumes are cloned or modified when cloud backup is offline.

iOS Applications Developer
Tata Consultancy Services Ltd.

• Portfolio Management Applications: Built applications for iPhone and iPad, and developed tools so as to analyze the user portfolio in an interactive way.
• Cross-platform Applications: Cross-platform mobile application development of mobile applications supported on both Android and iOS.

Teaching Assistant for a graduate-level Artificial Intelligence Course at Arizona State University.

• CSE 571 Artificial Intelligence: Ongoing course.
• Taught by Prof. Siddharth Srivastava.
• Delivered hands-on problem solving sessions on Planning Graphs, Markov Decision Processes, Reinforcement Learning, and Neural Networks.
• Co-created the software testbed used to support the course projects.
• Created and graded homework assignments.

Teaching Assistant for a graduate-level Artificial Intelligence Course at Arizona State University.

• CSE 571 Artificial Intelligence.
• Taught by Prof. Siddharth Srivastava.
• Delivered tutorials on Constraint Satisfaction Problems, PDDL, First Order Logic, and Dynamic Bayesian Networks.
• Co-created the software testbed used to support the course projects.
• Created and graded homework assignments.
• Mentored project groups working on class projects.

Teaching Assistant for a graduate-level Speech Processing Course at IIT Guwahati, India.

• CS 566 Speech Processing.
• Taught by Prof. Pradip K. Das.
• Mentored students working on class projects and homeworks.
• Graded homework assignments and exams.

Teaching Assistant for several undergraduate-level Computer Science Lab-Courses at IIT Guwahati, India.

• CS 513 Programming Lab.; Taught by Prof. Sushanta Karmakar.
• CS 462 Graphics Lab.; Taught by Prof. Samit Bhattacharya and Prof. Pinaki Mitra.
• CS 243 Software Engineering Lab.; Taught by Prof. Pradip K. Das.
• Mentored students working on class projects and homeworks.

• PC Member, 39th AAAI Conference on Artificial Intelligence (AAAI 2025).

• PC Member, 38th Conference on Neural Information Processing Systems (NeurIPS 2024).

• PC Member, 20th Conference on Robotics: Science and Systems (R:SS 2024).

• Co-organizer, AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems.

• PC Member, 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024).

• PC Member and Session Chair, 34th International Conference on Automated Planning and Scheduling (ICAPS 2024).

• PC Member, 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024).

• PC Member, 12th International Conference on Learning Representations (ICLR 2024).

• PC Member, 38th AAAI Conference on Artificial Intelligence (AAAI 2024).

• Co-organizer, NeurIPS 2023 Workshop on Generalization in Planning (GenPlan'23).

• PC Member, NeurIPS 2023 Workshop on XAI in Action (XAIA 2023).

• Reviewer, Journal of Artificial Intelligence Research (JAIR).

• PC Member, CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP 2023).

• PC Member, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).

• PC Member, 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023).

• PC Member, IJCAI 2023 Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@IJCAI 2023).

• PC Member, CVPR 2023 Workshop on Open-Domain Reasoning Under Multi-Modal Settings (ODRUM 2023).

• PC Member, 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023).

• PC Member, ICAPS 2023 Workshop on Human-Aware and Explainable Planning (HAXP'23).

• PC Member, 37th AAAI Conference on Artificial Intelligence (AAAI 2023).

• Co-organizer, IJCAI-ECAI 2022 Workshop on Generalization in Planning (GenPlan'21).

• PC Member, 32nd International Conference on Automated Planning and Scheduling (ICAPS 2022).

• PC Member, ICAPS 2022 Workshop on Explainable AI Planning (XAIP'22).

• Reviewer, IEEE Robotics and Automation Letters.

• Volunteer, 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).

• Volunteer, 31st International Conference on Automated Planning and Scheduling (ICAPS 2021).

• PC Member, ICAPS 2021 Workshop on Explainable AI Planning (XAIP'21).

• PC Member, IJCAI 2021 Workshop on Generalization in Planning (GenPlan'21).

• Volunteer, 9th International Conference on Learning Representations (ICLR 2021).

• Volunteer, Southwest Robotics Symposium 2019, Tempe, AZ.

• Volunteer, 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018).

• Volunteer, National Workshop on GPU Programming and Applications, IIT Guwahati.

• Spring 2024 GPSA Jumpstart Research Grant, ASU.

• Graduate College Completion Fellowship, Graduate College, ASU.

• Fall 2023 GPSA Outstanding Research Award, ASU.

• Fall 2023 GPSA Outstanding Mentor Award, ASU.

• University (Engineering) Graduate Fellowship, ASU Engineering.

• SCAI Doctoral Fellowship, School of Computing and AI, ASU.

• SCAI Conference Travel Award, School of Computing and AI, ASU. (for IJCAI 2022, KR 2022, NeurIPS 2023)

• Best Demo Award, AAMAS 2022.

• SCAI Doctoral Fellowship, School of Computing and AI, ASU.

• Spring 2022 GPSA Teaching Excellence Award, ASU.

• GPSA Individual Travel Grant, ASU. (for AAAI 2021, AAAI 2022, IJCAI 2022, KR 2022)

• ASU Graduate College Travel Awards. (for AAMAS 2021, ICLR 2021, ICML 2021, IJCAI 2021)

• Fulton Schools Experiential Learning Grant, Arizona State University.

• Post Graduation Scholarship, All India Council for Technical Education, MHRD, Government of India.