Nishant Modi

Management Engineering student at the University of Waterloo. Currently data science intern on the fraud detection team at RBC, and previously ML research intern at AquaShield AI (YC P26); working on applied ml evals for water leak detection systems.

You can reach me on X, GitHub, LinkedIn, or email.

Writing

Content-Adaptive Sparse Attention Kernel for Long-Context Inference Aug 2026

A novel Triton kernel that picks which tokens to attend to at runtime, computing 3.9% of dense attention's FLOPs at 32k context.
Temporal Memory Architecture in Multi-Agent Loops Jul 2026

As multi-agent loop engineering matures, memory architecture becomes the critical failure point for most teams.

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