Hi there! I'm Ayush.
I'm a Data Science and Analytics graduate student at SUNY Polytechnic Institute, specializing in building intelligent AI systems that bridge research and production. My core focus areas are Retrieval-Augmented Generation (RAG), Graph RAG architectures, LLM fine-tuning, and scalable ML pipelines.
With hands-on expertise in Python, TensorFlow, PyTorch, LangChain, and modern AI frameworks, I build production-grade systems that go beyond prototypes — from real-time data pipelines to multi-hop reasoning engines powered by knowledge graphs.
My approach combines rigorous technical depth with practical engineering — whether architecting a cardiovascular risk prediction model with explainability or deploying a Graph RAG system for multi-document reasoning.
AI Research & RAG
Building cutting-edge RAG systems, Graph RAG with Neo4j, LLM fine-tuning, and intelligent information retrieval architectures.
Data Science & ML
End-to-end ML pipelines, predictive modeling, statistical analysis, and production-grade deployments with 90%+ accuracy.
Software Engineering
Scalable backend systems with FastAPI, real-time streaming pipelines, vector databases, and cloud-native deployments.