I'm a Computer Science student at the University of Illinois Urbana-Champaign, currently on an accelerated track to graduate in 3 years. My interests lie at the intersection of machine learning, multimodal AI, computer vision, and natural language processing.
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🧠 ex-AI Intern @ Kongsberg Digital
Designed a Retrieval-Augmented Generation (RAG) system that improved asset data retrieval by 70%, enabling faster decisions in oil, gas, and heavy-asset industries. -
🧬 Research Assistant @ Cellular Neuroscience Imaging Lab (UIUC)
Built deep learning pipelines for label-free segmentation of SLIM microscopy images to support research on neurodegenerative disorders. -
📚 AI/ML Project Manager – CS 124 Honors
Led the development of an image classification system using CNNs, mentored students through the ML pipeline, and documented CNN design principles.
Languages: Python, Rust, C++, Java, JavaScript
ML/AI: PyTorch, TensorFlow, Scikit-learn, LangChain, LangGraph, Cellpose
Tools: Azure DevOps, Git, Docker, JupyterLab
Concepts: Multimodal AI, RAG, NLP, Model Optimization
- AgriSphere – Geospatial AI platform using NASA data for smart agriculture
- Federated Facial Detection – Privacy-preserving detection system in Rust
- Transformer Architecture – PyTorch implementation of core transformer logic
- Local RAG System – Small-scale Retrieval-Augmented Generation engine
- Best Overall – URSA Research Symposium, UIUC
- Illinois Engineering Achievement Scholar
- Salutatorian, IB 44/45
- Email: pbairwa2@illinois.edu
- GitHub: github.com/prasbb
- LinkedIn: Pras Bairwa