Research 🔎

I am currently interested and researching on the following topics pertaining to Deep Learning:

• Natural Language Processing
  • Multi-Modality Generation conditioned on Text
  • Efficient Model Training - stuff related to QLoRA, Adapters and Bit-Quantization
• Computer Vision
  • Image Generation Conditioned on Text

Publications 📝

• Constraint-Based Multi-organ Identification in CT Images using Unsupervised Learning
• Toward Generating System Architecture and Formal Functional Description in the Architecture Analysis & Design Language (AADL) with Structured Natural Language
• LPRNet: A Novel Approach for Novelty Detection in Networking Packets
• Performance Analysis of Machine Learning Algorithms and Feature Extraction Methods for Sentiment Analysis
• Genetic Algorithm and Ensemble Learning Aided Text Classification using Support Vector Machines

Please refer to my Google Scholar for more details about the publications I have been a part of.

Projects 💻

• Guided Conditional Image Generation with Conditional Flow Matching
• Patient Tracker System
• Visual Story Generation
• Recipe Infusion
• VisionNet
• CheMapBERT
• Human Vs AI Sarcasm Detection
• Scalability Check for Machine Learning System Predicting Flight Delays
• DQNAS: Neural Architecture Search using Reinforcement Learning
• Is Transformation Better than Resampling for Lesion Segmentation Using Deep Learning in Dermatology?

I have linked the implementations of the above projects available on my Github.