The Recall Ceiling — Why LLM Recommendation Reranking Fails in Practice
Retrieval recall, not reranking sophistication, sets the ceiling on two-stage recommendation. Proved as a combinatorial…
Building the future, one commit at a time. Here are some of my open-source projects and research work.
Retrieval recall, not reranking sophistication, sets the ceiling on two-stage recommendation. Proved as a combinatorial…
Production-grade Grouped Query Attention (GQA) in Triton with composable attention patterns: 8 variants via tl.constexp…
A complete Bitcoin implementation in ~3000 lines of Rust — full UTXO model, secp256k1 ECDSA, M-of-N multisig, BIP125 RB…
GC-aware LLM inference engine applying garbage collection semantics (reference counting, generational collection, memor…
Interactive Vulkan learning system with 20 progressive exercises and a final renderer project
Browser-based music style filter and audio processing workstation with real-time effects
Three-layer cognitive memory for LLM agents -- working, episodic, and semantic -- with 473 passing tests, hybrid retrie…
An S3-compatible distributed object store with a purpose-built LLM KV-cache engine: radix tree keyed on token prefixes,…
A fan-out-on-write timeline service with the read path, the write path and the failure modes separated — and an analysi…