AI systems / inference / research

I build the systems between a model and real work.

Inference engines, model adaptation and agent infrastructure. I take ideas through implementation, evaluation and production, then publish what the measurements actually show.

Software engineer at AWS ElastiCache
Maintainer of Valkey GLIDE

PythonPyTorchRustCUDAvLLMSGLangValkeyLinux

01 / Selected work

Systems first.
Evidence attached.

Four projects that show how I work: close to the model, close to the hardware and honest about the baseline.

01

Inference engine / Rust + CUDA

memra

An OpenAI-compatible engine for Blackwell GPUs, built around the constraints that matter in serving: kernels, quantization, speculative decoding and cache behavior. Text, image and video models run through one serving path.

  • NVFP4
  • MTP
  • Multimodal
  • CUDA graphs
2.3×throughput vs llama.cpp on the published MTP workloadCode and measurements ↗
02

Model adaptation / GRPO + LoRA

Beta Gate

A small zero-initialized gate inside Qwen3.5's Gated DeltaNet layers changes what length-penalized reinforcement learning teaches the model. The result is shorter reasoning with higher measured accuracy, not a prompt trick.

  • PyTorch
  • GRPO
  • LoRA
  • Leakage checks
0.786 → 0.852MATH-500 anytime accuracy, with tokens cut from 4,223 to 2,202Code and receipts ↗
03

Serving systems / learned prediction

Layby

A 421M return-time predictor decides where an idle session's KV cache should wait: GPU, CPU, disk or recomputation. The placement rule uses costs the engine measures on itself, with no fitted constants.

  • vLLM
  • SGLang
  • KV cache
  • ReturnBench
0.59×p95 resume latency vs an LRU CPU tier on the slow-disk Qwen3-8B runCode, model and benchmark ↗
04

Agent infrastructure / open source

agent-sh

Twenty-five public repositories for making coding agents useful beyond a demo: deterministic CLI selection, local model routing, configuration validation, desktop control and isolated workspaces across more than 50 agent platforms.

  • Agent systems
  • MCP
  • Local models
  • Developer tools
2,200+GitHub stars across the organizationExplore the tools ↗

05 / Contact

Hard model or
systems problem?

I work on inference, model adaptation, evaluation and the infrastructure around AI systems.