I'm a Master's student in Artificial Intelligence at Worcester Polytechnic Institute, passionate about advancing the frontiers of AI through research and practical applications. Currently working on cutting-edge projects in self-supervised learning and deep learning.
- Multi-Stage Deep Learning for Semiconductor Vision - Developing a hierarchical neural network approach for precise chip corner detection using PyTorch
- Enhanced Large Language Models - Published at IEEE ICICIT 2024, focusing on context understanding and PEFT techniques
- Deep Learning Engineer Co-op at Teradyne - Developing AI solutions for semiconductor chip alignment
- Teaching Assistant at WPI - Supporting students in Computational Engineering and Real-Time Embedded Systems
Specializations: Self-Supervised Learning • Contrastive Learning • Vision Transformers • LLM Fine-tuning • Prompt Engineering
- 🎯 Research Publications: IEEE Conference presentations on LLM enhancement and AI applications
- 🔧 Industry Impact: Developed production-ready deep learning systems for semiconductor testing
- 📚 Education: Teaching complex AI concepts to undergraduate students
- 🌟 Innovation: Created platforms connecting students with internship opportunities
- Advanced computer vision architectures
- Distributed training for large-scale models
- MLOps and model deployment strategies
- 📧 Email: jagansanikommu7@gmail.com
- 🌐 Portfolio: jagansanikommu.github.io
"Fine-tuning myself in AI, one epoch at a time"