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Divwardhan Agrawal

@divwardhanagrawal

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AI/ML researcher at IIITDM Jabalpur developing adversarial DDoS detection with over 95% evasion success.

India

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What I'm looking for

I'm seeking research focused on translating machine learning research into reliable, impactful real-world systems through rigorous experimentation and applied research.

At Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, I evaluated deep learning-based DDoS detection across three SDN traffic datasets. I also developed a generative approach for realistic adversarial samples, achieving over 95% evasion success, and applied federated learning to improve generalization.

My research includes evaluating adversarial robustness in brain MRI tumor segmentation and building an NLP pipeline that turned Rajya Sabha debate PDFs into a structured corpus of 94,000+ speeches. In projects, I implemented federated vision-language learning for remote sensing and developed a YOLOv5 system for commercial vehicle part detection.

Experience

Work history, roles, and key accomplishments

Current

AIML Research Intern

Current

Indian Institute of Information Technology, Design and Manuf

Jun 2026 - Present (4 months)

Evaluated deep learning-based DDoS detection across 3 SDN traffic datasets and architected a generative approach for adversarial samples, achieving >95% evasion success rate. Applied federated learning to improve model generalization across high- and low-rate DDoS traffic.

Deep Learning DDoS Detection SDN Federated Learning Adversarial Samples Generative Models

Intern Certificate

DRDO – Scientific Analysis Group (SAG)

Dec 2025 - Dec 2025 (0 months)

Benchmarked 8 deep learning architectures and state-space models for binary network traffic classification, achieving 98% accuracy. Mitigated class imbalance through resampling, class-weighted optimization, and decision-threshold tuning.

Deep Learning Traffic Classification Class Imbalance Re Sampling Model Benchmarking

Machine Learning Research & Deployment Intern

CaRPM

Jun 2025 - Jul 2025 (1 month)

Devised computer vision models for automated commercial vehicle inspection under a Government of Odisha initiative. Implemented an end-to-end ML pipeline encompassing dataset preparation, model training, API integration, and production deployment.

Computer Vision Machine Learning ML Pipelines API Integration Deployment