writing
notes on ai, engineering, and building things.
world models and how they work and their lineage
tracing the path from pixel-space simulators (iris, storm, diamond) through latent-space compression, into dreamer's planning loop, and now watching jepa — my learnings on world models so far.
e3: issue-level backtesting for automated research critique
the research behind noteweave's review engine — an automated critic that flags unsupported claims, incomplete ablations, weak baselines, and data leakage risks, backtested against 100 iclr 2026 papers.
agentic search — how we built it at discoverminds.ai
the architecture behind arya: finding the right people in your network using agentic search
resources for classical ml, dl & genai
a curated list of courses, books, and resources for learning classical machine learning, deep learning, and generative ai — from nptel, iit, and beyond.