Rahul
Kashyap
Designing systems at the intersection of intelligence, health, and implementation.
Rahul Kashyap operates at the intersection of academic research and applied systems engineering. His work spans continual learning, generative AI, and health technology, building open-source tools and deploying machine learning systems in production across academia, startups, and enterprise environments.
Position
DIT Candidate, Information Technology
Affiliation
Arizona State University
Location
Tempe, AZ
Contact
rahulmkashyap@gmail.comFocus Areas
Continual Learning
Generative AI
Health Technology
Applied ML Systems
Wearable Data Intelligence
Personalized Feedback Loops
Selected Work
View allPIT
Open Source
Semantic version control for production LLM prompts. A Git-for-prompts tool with pit bisect for broken version identification, pit replay for time-travel, and a performance-based query language.
Course On Demand
AI Application
AI platform transforming research papers into structured learning modules with video explanations, coding exercises, and assessment systems.
AI Bone Fracture Detector
Deep Learning
Multimodal deep learning model combining ResNet-50 for X-ray analysis with LSTM for textual descriptions, improving diagnostic accuracy through complementary modalities.
Process
Observe
Model
Prototype
Validate
Deploy
Iterate
Contact
Open to research collaborations,
applied projects, and conversation.