Tai An (Anai-Guo): semiconductors, Skoor 35 (n=3, confidence 0.7)
What they built
No owned project appears in the evidence. Tai An is listed as a committer on three repositories owned by others [source].- k2-fsa/sherpa-onnx: offline speech recognition and synthesis on onnxruntime, with support for embedded systems, RISC-V, and RK, Axera and Ascend NPUs. It has 15,339 stars and its primary language is C++ [source].
- fastmachinelearning/hls4ml: machine learning on FPGAs using HLS. It has 2,189 stars [source].
- RLinf/RLinf: reinforcement learning infrastructure for embodied and agentic AI. It has 5,430 stars and is tagged robotics [source].
What their commits change in these repositories is not in the evidence.
Record
These are the measured signals.- The profile shows 549 commit contributions in the last year [source].
- The account was created 2026-04-12 [source].
- They committed to 2 semiconductors-tagged repositories in the last 90 days: sherpa-onnx and hls4ml [source] [source].
- The profile has 20 followers [source].
- Company, location, bio and links are blank [source].
- Papers are not in the evidence.
The per-repository 90-day commit counts (135, 55 and 154) are not attributed to this person in the evidence [source].
Inferences:
- Inference: 549 contributions in about six months is high volume, but contribution counts do not measure size or difficulty.
- Inference: sherpa-onnx is speech software that runs on NPUs. The "semiconductors" tag rests on hardware targets, not chip design.
- Inference: hls4ml is the closest fit to the semiconductors thesis.
- Inference: a new account with high output may belong to someone who previously worked under another account or inside a company.