About
I am a Research Fellow at the Machine Learning Lab, IIIT Hyderabad, working on cutting-edge research in artificial intelligence and machine learning. My research focuses on Graph Neural Networks (GNNs), particularly in the context of dynamic graphs, uncertainty management, and high-stakes applications.
Currently, I am pursuing my M.Sc in Electronics and Communication Engineering by Research at IIIT Hyderabad, where I explore novel approaches to temporal graph learning, reject option classification, and 3D computer vision applications.
Research Interests
Recent News
Publications
2025
Reducing Misclassification Risk in Dynamic Graph Neural Networks through Abstention
ASONAM 2025 Accepted
Confidence First: Reliability-Driven Temporal Graph Neural Networks
KDD 2025 Temporal Graph Learning (TGL) Workshop Accepted
2024
Projects
Node Classification With Integrated Reject Option
Introduced NodeCwR framework incorporating cost-based and coverage-based rejection strategies. Achieved 6-19% improvement in prediction accuracy on ILDC dataset for Legal Judgment Prediction.
Learn MorePredict Confidently, Predict Right: Abstention in Dynamic Graph Learning
Developed novel reject option strategy for CTDGs allowing model abstention from uncertain predictions. Achieved 10-15% improvement in AUC/AP scores across six dynamic graph datasets.
Learn More3D Motion Transfer Across Diverse Character Topologies
Developed method using Graph Convolution Networks for realistic 3D motion transfer between diverse character topologies. Incorporated prior frame encodings to reduce jitter.
Learn MoreMultilingual News Article Similarity Detection Using Siamese Networks
Developed multilingual news similarity detection system. Achieved best result with multilingual DistilBERT (PCC: 0.5683) in SemEval 2022 Task 8.
Learn MoreExperience
Software Developer
Google Summer of Code, Remote
Project: DevoTG: Dynamic Graph Neural Networks for Modeling C. elegans Development. Model C. elegans embryogenesis and connectome formation using advanced temporal graph methods.
MS Research Fellow
Machine Learning Lab - MLL (IIITH), Hyderabad, India
Conducted research on GNNs, high-stakes applications like legal judgment prediction, disease prediction. Explored continuous time dynamic graphs (CTDGs), reject option classification. Worked on 3D computer vision applications.
Engineer
Vikram Solar Limited, Falta, West Bengal, India
Contributed to Six Sigma project increasing production by 10%. Involved in bottleneck analysis, DOE in Minitab, and optimization analyses. Led KAIZEN projects achieving 2% reduction in power consumption.
Teaching
Instructor - Executive Training Program on AIML
ihub-data, IIIT Hyderabad
Coordinated two-week executive training program. Conducted tutorials on PCA and end-to-end ML model building.
Teaching Assistant - 3D Vision Summer School
CVIT, IIIT Hyderabad
Conducted tutorial on graph neural networks and their applications in 3D vision, especially mesh-based systems.
Curriculum Vitae
Download my complete CV to learn more about my academic background, research experience, and technical skills.
Education
M.Sc in Electronics and Communication Engineering by Research
International Institute of Information Technology, Hyderabad
July 2022 - July 2025 | GPA: 8.29/10
Bachelor of Technology in Electrical Engineering
Indian Institute of Engineering Science and Technology, Shibpur
July 2014 - June 2018 | GPA: 8.02/10
Technical Skills
Programming Languages
Python, C, SQL
ML/DL Libraries
PyTorch, PyG, scikit-learn, TensorFlow, Keras, Transformers
Tools & Software
GitHub, VS Code, Conda, Poetry, Blender, MeshLab, Minitab, MATLAB Simulink