Research Assistant & AI Enthusiast
B.Tech Computer Science with AI specialization at IIITDM Kancheepuram. Passionate about multilingual NLP, computer vision, and building AI solutions that bridge linguistic divides and serve underrepresented communities.
My fascination with how language and data shape human understanding has always guided me. I find joy not just in building models, but in uncovering insights, solving meaningful problems, and exploring the unknown. It is this curiosity, not titles or accolades, that drives me.
Currently working as a Research Assistant at IIITDM Kancheepuram, I'm developing a multi-modal fake news detection model that integrates text and image data across 10+ Indian regional languages. This work has shown me that data science is not just about performance, but also about representation, accessibility, and responsibility.
I believe technology should adapt to people, not the other way around. My goal is to develop tools that empower speakers of underrepresented languages and bridge linguistic divides in AI systems.
Developing a comprehensive fake news detection system that seamlessly integrates text and image analysis across 10+ Indian regional languages, leveraging cutting-edge pre-trained models like m-BERT and XLM-RoBERTa.
My journey in research and industry, focusing on AI, NLP, and data science applications.
Specializing in Artificial Intelligence with comprehensive coursework in machine learning, data science, and AI applications.
Research papers, conference proceedings, and academic contributions.
Currently working on research papers related to multilingual fake news detection and multimodal AI systems. Publications will be updated here as they become available.
Research on developing comprehensive fake news detection systems for Indian regional languages, integrating text and image analysis using transformer-based architectures.
A showcase of my academic and research projects spanning AI, ML, NLP, Computer Vision, and Data Science.
Real-time gaze and head pose detection system using OpenCV, DLIB, and deep learning to monitor user behavior during exams and interviews, achieving 90%+ accuracy in gaze detection.
Advanced medical image analysis using contrastive learning techniques (SimCLR, MoCo) for extracting high-quality features without requiring large labeled datasets.
Intelligent, multi-platform chatbot for IIIT Kancheepuram using Dialogflow, streamlining student interactions and providing real-time responses to academic queries.
Advanced news summarization system using T5 Transformer and text-ranking algorithms, reducing article length by 60% while maintaining key information.
YOLOv11 implementation for real-time vehicle and pedestrian detection in traffic video streams, achieving 95% accuracy in classification.
Comprehensive air quality prediction system processing 40,000+ records from multiple sources to forecast AQI levels with 92% accuracy.
Advanced time series analysis system detecting real-time anomalies with 95% accuracy in noisy and mislabeled datasets.
Visit my GitHub profile to see more projects, code repositories, and contributions to open source.
View GitHub ProfileLatest updates on my research, projects, and professional journey in AI and data science.
Began working as a Research Assistant at IIITDM Kancheepuram, focusing on developing a multi-modal fake news detection system for Indian regional languages.
Successfully completed internship at Cipher Byte Technologies, working on unemployment trend prediction models and ETL workflows.
Developed and successfully tested an intelligent exam surveillance system using computer vision techniques at IIITDM campus.
Completed multiple professional certifications including Google Data Analytics, DeepLearning.AI specializations, and Stanford ML course.
Successfully deployed AI-powered campus chatbot for IIIT Kancheepuram, improving student support services and reducing manual workload by 30%.
Currently working on research paper focusing on self-supervised learning techniques for medical image analysis and multilingual NLP applications.
Stay tuned for updates on research publications, conference presentations, and new project developments.
Let's explore ideas, discuss research opportunities, and collaborate on meaningful AI projects that can make a positive impact on society.
Exploring ethical considerations in developing AI systems for low-resource languages and ensuring fair representation.
Investigating novel approaches to combine text, image, and audio data for comprehensive AI understanding.
Brainstorming applications of AI technology to address societal challenges and improve quality of life.
Open to discussing potential research collaborations and interdisciplinary projects.
Interested in collaborating on research projects related to multilingual NLP, computer vision, or AI ethics. Open to both academic and industry partnerships.
Happy to share insights on my research areas and learn from others working on similar problems. Let's build a community of responsible AI researchers.
Always up for a coffee chat about AI, research methodologies, or the future of technology. Sometimes the best ideas come from casual conversations.
Have an interesting idea or want to discuss potential collaboration? I'd love to hear from you and explore how we can work together.