Hi, I’m Paarth
Computer Engineering @ University of Waterloo Focused on AI systems, retrieval architectures, and high-performance ML.
Retrieval Systems Lab (RAG experiments, chunking strategies, reranking analysis)
ML From First Principles (implementing models from scratch)
Systems + ML experiments (latency, throughput, cost modeling)
Deep Learning (CNNs, RNNs, Transformers)
Distributed training & systems design
GPU/TPU compute optimization
JAX / XLA / low-level ML performance
Retrieval-Augmented Generation
Model efficiency & scaling laws
Distributed training systems
AI infrastructure
Measurable performance
Clean abstractions
Failure analysis
Engineering depth
LinkedIn: (LinkedIn)
Email: (paarths376@gmail.com)