# Aaron Jin

> Aaron Jin is a San Francisco software engineer and Stanford computer science graduate building high-throughput data pipelines for LLM training and post-training at AfterQuery. His earlier work spans model-evaluation infrastructure at LinkedIn, Apple Intelligence integration in Safari Suggestions, predictive battery-performance models at Apple, and public projects in reinforcement learning, transformers, forecasting, 3D reconstruction and compilers.

- **Role:** Founding Engineer at AfterQuery
- **Organizations:** AfterQuery, LinkedIn, Apple, Stanford University
- **Education:** BS/MS in Computer Science; artificial intelligence track, Stanford University
- **Known for:** Built a distributed benchmarking platform at LinkedIn for orchestrating model evaluations., Integrated Apple Intelligence into Safari Suggestions and built predictive battery-performance models at Apple., Co-authored PocketNeRF, a Stanford project that reported faster convergence and roughly order-of-magnitude model compression for mobile-ready indoor reconstruction.

## Career timeline

- **2022** — Admitted to Stanford University's master's program in computer science.
- **Before 2026** — At Apple, integrated Apple Intelligence into Safari Suggestions and built predictive battery-performance models.
- **Before 2026** — At LinkedIn, built a distributed benchmarking platform to orchestrate model evaluations.
- **2025** — Co-authored PocketNeRF, a Stanford CS231N project on fast, mobile-ready indoor 3D reconstruction; Jin led the structural-priors integration.
- **2026** — Publicly describes his work at AfterQuery as building high-throughput data pipelines for LLM training and post-training.

## Achievements

- Built a distributed benchmarking platform at LinkedIn for orchestrating model evaluations.
- Integrated Apple Intelligence into Safari Suggestions and built predictive battery-performance models at Apple.
- Co-authored PocketNeRF, a Stanford project that reported faster convergence and roughly order-of-magnitude model compression for mobile-ready indoor reconstruction.
- Built public projects spanning reinforcement-learning poker, a GPT-2-style transformer, prediction-market forecasting, 3D reconstruction and a compiler from scratch.

## Latest updates

- **2026-09** — Continues as a founding engineer at AfterQuery, whose latest publicly tracked financing is a Series B.
- **2026-08** — Represented AfterQuery at a Stanford career fair with colleagues from the engineering and recruiting team.
- **2026-04** — AfterQuery announced a $30 million Series A at a $300 million valuation and said it had surpassed a $100 million revenue run rate.

## Links

- Website: https://www.aaronj.in/
- LinkedIn: https://www.linkedin.com/in/aaronkjin/
- Twitter/X: https://x.com/gunnyjin
- GitHub: https://github.com/aaronkjin

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Profile page: https://yespress.io/aaron-jin
Published by YesPress — https://yespress.io
Last updated: 2026-09-28