- 🎓 MS in Artificial Intelligence @ Northeastern University (GPA: 3.92/4.0)
- 🎓 Btech in Mechatronics, Robotics and Automation @ Manipal Institute of Technology (GPA: 8.2/10.0)
- 🤖 Designed ROS-based UGVs, Deployed NLP/OCR pipelines, Scaled ML systems.
- 🏆 Hackathon Champion: Built AI-powered dashboards (GAN + real-time MongoDB).
- 📝 Published Researcher: IoT & Pandemic Resilience (Journal of Telematics).
- Vision Transformers (ViT): Exploring transformer-based architectures for image recognition and computer vision tasks.
- Large Language Models (LLMs): Studying fine-tuning techniques for domain-specific applications using GPT and BERT variants.
- Haptic Feedback Systems: Investigating precision enhancements in robotic manipulators with tactile sensory systems.
- Reinforcement Learning (RL): Developing efficient policies for real-world robotics applications like autonomous navigation.
- Pose Estimation: Working on accurate human and object pose detection for advanced computer vision tasks.
- Sensor Fusion Techniques: Combining data from LiDAR, IMU, and GPS for real-time localization and mapping.
| Project | Tech Stack | Key Highlights |
|---|---|---|
| Autonomous Vehicle Racing Optimization | Q-Learning, RL | Developed a Q-learning agent for CarRacing-v3, implementing reward shaping and efficient policy optimization. |
| Amazon Product Review Analysis | NLP, LDA, Sentiment Analysis | Analyzed 568K reviews, applied topic modeling, and predicted helpfulness trends. |
| AI-Powered Crisis Management Tool | Python, MongoDB | MLH Winner: Created a GAN-powered real-time resource allocation dashboard. |
| Medical Imaging Classifier | TensorFlow, CNN | Achieved 88% accuracy in classification with extensive hyperparameter tuning. |
| Advanced Multi-Calendar Management System | Java, MVC | Designed an intuitive calendar system with timezone support and recurring event chains. |
- 🔍 Open to AI/ML research, robotics, and hackathons
- 💬 Ask me about sensor fusion, NLP, or reinforcement learning
- 📧 Reach me: [email protected]