I'm a PhD candidate in Computer Science at BITS Pilani, Goa, specializing in deep learning for NLP and computer vision. Currently working as a Research Fellow on industry-sponsored ML systems for automotive lifecycle and safety applications.
- π PhD in CS @ BITS Pilani (Dec 2025 - Present)
- π¬ Research Focus: NLP, Computer Vision
- π§ Current Work: Large-scale ML pipelines for automotive safety systems
- π‘ Interests: Stance detection, medical imaging, biomedical signal processing
Research Intern @ IISER Kolkata
- Created 43K-comment dataset on sports controversies with multi-phase LLaMA-3.1 annotation
- Fine-tuned LLaMA-3.1-8b & DeepSeek-8b, boosting stance detection F1 from ~0.35 to ~0.75
- Achieved inter-annotator agreement ΞΊ > 0.8
Research Intern @ DIAT, DRDO
- Novel classification method for upper limb movement tasks
- Achieved 97.50% micro-averaged accuracy and 99.17% mean accuracy
- Outperformed existing approaches by 10% using ensemble ML classifiers
Final Year Project - ICASI 2025, Tokyo
- Cost-effective portable spirometer for respiratory diagnostics
- Dual AI models: 1D CNN+LSTM (93.73% accuracy) + MobileNetV2 (92.7% accuracy)
- Flutter app with real-time FVC, FEV1, PEF measurement
Project Intern @ IIT Bombay
- CNN implementation with 95% testing accuracy on MRI images
- ResNet-50 fine-tuning achieving 99.50% training accuracy
- Comparative analysis of deep learning architectures
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Research Fellow @ BITS Pilani, Goa (Dec 2025 - Present)
Industry-sponsored ML for automotive lifecycle & safety systems -
Research Intern @ IISER Kolkata (Mar 2023 - Jan 2025)
NLP stance detection with LLMs -
Research Intern @ DIAT, DRDO (Dec 2023 - Mar 2024)
EEG signal processing & classification -
Project Intern @ IIT Bombay (Oct 2023 - Mar 2024)
Computer vision for medical imaging