SAMPLE PROFILE · MOCK DATA

Alex Chen

Graph score: 0.91

Inference Engineer · Scale AI

San Francisco, CAachen-ml · 847 contributions4 arXiv papers · 2 ICLR reviewsOpen for coffee · Tue/Thu

GitHub12 nodes

arXiv4 nodes

OpenReview2 nodes

Résumé6 nodes

Expertise scores

computed · not self-reported

CUDA / GPU Kernels

GitHub

0.91

Sparse Attention

arXiv + GitHub

0.88

KV Cache Optimization

GitHub + OpenReview

0.85

Distributed Training

GitHub

0.79

Quantization (FP8/INT4)

Papers

0.76

Inference Serving

GitHub

0.73

RLHF / Fine-tuning

OpenReview

0.61

Triton Kernels

GitHub

0.58

Recent activity

vLLMMay 2025

3 merged PRs — PagedAttention perf, chunked prefill memory

arXiv:2504.11823Apr 2025

Efficient KV Cache Eviction via Graph-Structured Importance Scoring

flash-attnMar 2025

Issue #812 — sliding window + GQA correctness fix

ICLR 2025Feb 2025

2 papers reviewed — sparse MoE routing, long-context eval

arXiv:2502.07341Feb 2025

Speculative Decoding with Draft Token Pruning

TensorRT-LLMJan 2025

Custom attention plugin for GQA + sliding window

Agent recommendations

Engineers most likely to collaborate with Alex based on graph proximity, shared contributions, and topic overlap.

Alex T.0.94

Research Eng · DeepMind · 1.2mi

3 co-cited papers on KV eviction; both contributed to vLLM in the last 90 days.

KV CachePagedAttnFlashAttn

Yun L.0.89

PhD · Stanford NLP · 4.1mi

Sparse attention co-author; working on similar long-context efficiency problems for LLM serving.

Sparse AttnGQALong Context

Min K.0.86

MLSys · Together AI · 2.8mi

Active on flash-attn and vLLM; similar CUDA kernel optimization background.

TritonCUDABatching

Score breakdown

Contribution depth

0.93

Recency

0.88

Peer validation

0.86

Topic consistency

0.79

Network proximity

0.71

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