I am Kishan

I work on building AI systems that could do discovery and accelerate science; more specifically, working on generalisation, sample efficiency & mechanistic transfer. Interests include studying time, human history/evolution and society in the age of superintelligence. You will find some of my work on distributed systems & computational mathematics too.

Research & papers

05
2026Mathematics

New Hadamard Matrix Constructions

60+ explicit Hadamard and skew-Hadamard matrices for previously unresolved orders, including 2092, 2148, 2284 and 2292, with exact verification certificates.

2026Paper

Root Intervention Flattening

Counterexamples and corrected conditions for quotient-graph identifiability under paired interventions in causal representation learning.

2026Formal proof

Monochromatic Quantum Graphs

Formal and computational work on the Krenn–Gu monochromatic perfect-matching problem, including an audited Lean proof of the exact complex-weight no-solution result for the six-vertex, four-color slice.

2026Research note

Hybrid Semantic Cache: Cache Invalidation for High-Dimensional Similarity Search

A correctness-first approach to similarity caching, using geometric bounds and explicit freshness semantics to avoid unnecessary invalidation.

2026Paper & benchmark

KyroBench: Evaluating Context Correctness Before AI Agents Act

A benchmark for whether an agent’s context remains fresh, correctly scoped, resistant to pollution, and independently verifiable as source knowledge changes.

Previous work

2024—25

Software Engineer, Scale AI

Worked on RLHF projects, AI-agent training and evaluation, automation workflows, and coding-task model assessment.