Software engineer focused on distributed systems and ML inference infrastructure. Currently at UCSD's Hao AI Lab working on FastVideo, an open-source video-diffusion framework — my merged PRs →
- First port to NVIDIA's DGX Spark (GB10/Blackwell) — 4 models running, full 4-bit FP4 inference enabled: −24% LTX2 denoise at 1080p (#1594, #1598)
- Model-agnostic adaptive caching — 22–47% latency off Wan2.1 across an SSIM 0.875–0.946 quality frontier, no per-model adapters
- −15.6% Cosmos 2.5 end-to-end — diagnosed a "slow stage" absorbing a deferred half-gigabyte GPU→CPU transfer; quantize to 8-bit on-device before the copy (#1362)
- Hidden 24% torch.compile speedup surfaced via a warmup-correct A/B, plus
FlashAttention as a traceable
torch.librarycustom op (#1366, #1373)
- log-triage-v2 — Go log indexing engine: 42M rows/hour ingestion via a channel-based worker pool, 77ns lookups at 1M entries, write-ahead log with batched fsync
- Flare — ML log anomaly detection: 0.642 F1 on the full 11.2M-line HDFS dataset, LLM-as-judge eval scoring 4.67/5 without ground-truth labels
- OneBusAway/maglev — upstream contributions to the Go transit API: mutex-contention
profiling under 500 VU load,
StaleDetectorfix
Before this: Amazon (distributed log indexing, on-call automation) · Aark Global (document intelligence pipelines) · Concentrix (Kafka/Airflow streaming).
Site & blog: mister-raggs.github.io · LinkedIn: linkedin.com/in/raghavkachroo

