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Anuradha Surolia

@anuradhasurolia

I build end-to-end NLP and machine learning systems for real-world text classification and inference.

I've built end-to-end machine learning and NLP systems at JIIT, from social-network data collection and preprocessing through model training, validation, and evaluation.

My doctoral research includes GCN-SBERT text representation learning, which improved performance by 6% over an SBERT-only baseline and 15% over traditional ML models. I've also developed multi-label emotion analysis for Indian election discourse and stance detection for noisy political social-media data.

I work in Python with PyTorch, TensorFlow, Scikit-learn, transformers, graph neural networks, and cloud tools including AWS SageMaker and S3. I also taught Machine Learning, Data Science, Python Programming, and Information Security as an Assistant Professor.

Experience

Work history, roles, and key accomplishments

Research Scholar

Jaypee Institute of Information Technology

Jan 2018 - Nov 2025 (7 years 10 months)

Designed and implemented machine learning models using Python and PyTorch, including deep learning architectures. Built and evaluated end-to-end ML pipelines for data collection, preprocessing, feature engineering, model training, and validation.

Python PyTorch Machine Learning Deep Learning data preprocessing Feature Engineering Model Training Model Validation

Assistant Professor

Jaypee Institute of Information Technology

Nov 2012 - Mar 2025 (12 years 4 months)

Designed and delivered courses in Machine Learning, Data Science, Python Programming, and Information Security. Supervised student research projects in ML, NLP, and cybersecurity domains.

Machine Learning Data Science Python