Short Bio
I am a Manager Data Scientist at Mastercard AI Garage, India. I completed my PhD under the supervision of Prof. Sayan Ranu at the Department of Computer Science and Engineering at IIT Delhi in the area of Learning to Solve Combinatorial Optimization Problems over Graphs.
Research Interests:
1. ML, Graphs and Optimization, Learning under Data Scarcity, Network fraud detection.
2. Generative Modeling.
3. Model bias identification and mitigation.
Previously I worked as a Research Scientist at Pocket FM. Prior to joining IIT Delhi, I worked as a Research Engineer in the Machine learning and statistics group at Conduent Labs (Formerly Xerox Research Center India). I received my Master’s degree in Computer Science and Engineering from the Indian Institute of Technology Guwahati. Please visit my Google Scholar profile for more details.
News
Jan 2026: Received IIT Delhi Distinction in Doctoral Research award.
May 2025: Paper “What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization” accepted in Findings of ACL 2025 Link.
Dec 2024: Paper “NeuroSteiner: A Graph Transformer for Wirelength Estimation on Steiner” accepted in AAAI workshop: AI to accelerate Science Link.
May 2024: Paper on Neural Graph Partitioning accepted in KDD 2024 Video.
Dec 2023: Outstanding Reviewer Award at ACM CODS COMAD 2024. Rewarded to top 3 out of 49 reviewers.
Nov 2023::Paper on Generative Graph modeling under Data Scarcity Accepted in Learning on Graphs Conference(LoG 2023).
June 2023:: Outstanding Teaching Assistanship Award for Database Systems and Graph Neural Network course (UG + PG) at IIT Delhi 2023.
June 2023:: Started internship at Qualcomm AI Research, Amsterdam.
April 2023:: 2 papers accepted in ICML 2023. One on using GNN + RL for finding stable materials. Second on learning on graphs under continuous stream of data.
April 2023: Selected for attending HLF: Was one of the 200 young researchers selected across the globe to attend the Heidelberg Laureate Forum in Germany in 2023.
March 2023: Outstanding Teaching Assistanship Award for Computer Networks course(UG + PG) at IIT Delhi 2022.
Jan 2023: Oral at AAAI : Our AAAI paper : Lifelong Learning to solve Mixed Integer Programs is selected for oral presentation.
Dec 2022: University of Tokyo: Worked as a visiting researcher in the area of Graph condensation for Graph Neural Networks under the supervision of Prof. Toyotaro Suzumura at the University of Tokyo, Japan
Nov 2022: Paper accepted AAAI 2023: Lifelong Learning to solve Mixed Integer Programs
July 2022: Serving as PC member of AAAI 2023
June 2022: Received Qualcomm Innovation Fellowship(QIF) for 2022-2023
June 2022: Paper on Meta-learnint for tackling Generalization in Neural Combinatorial Optimization accepted in ECML-PKDD 2022.
May 2022: US Patent Granted Trained Pattern Analyzer for Rollout Decisions” USPTO.
Jan 2022: Serving as PC member in Applied Data Science Track in KDD 2022
Nov 2021: Paper accepted in AAAI 2022
Sep 2021: Paper on Robust and Reliable Route Recommendation on road networks accepted in NeurIPS 2021
Sep 2020: Paper on solving budget constrained combinatorial problems accepted in NeurIPS 2020
Sep 2020: Joined as a Research Intern in the Machine learning and optimization Team at NAVER Labs, Europe.