# Ryan Liu

> Founding Engineer at Jobright

Location: Palo Alto, California, United States
Profile: https://flows.cv/ryanliu

I’m a software engineer with ten years of experience turning complex ideas into reliable, large‑scale products. At Amazon, I helped design and operate core AWS services. Later, at Google, I focused on the backend platforms that keep millions of Google Home devices responsive and secure.

I then joined News Break, first as a team lead and later as an engineering manager, where I guided the local‑news recommendation team through a major evolution from factorization‑machine models to deep neural networks. We rebuilt both the serving layer and the continuous model‑training pipeline, significantly cutting infrastructure costs while boosting engagement and daily active users.

Now, as the founding engineer at Jobright.ai, I’m building an AI‑driven hiring marketplace that serves both job seekers and employers. Our stack combines the largest U.S. job‑supply pipeline with state‑of‑the‑art recommendation engines and LLM‑powered applications. The goal is to streamline hiring and support long‑term success on both sides of the market. If shaping the future of recruiting excites you, let’s connect.

## Work Experience
### Founding Engineer @ Jobright.ai
Jan 2023 – Present | Santa Clara, California, United States
- Built the end‑to‑end search, recommendation, and LLM feature stack from concept to production, enabling personalized matches for millions of job seekers and employers.

- Created ChatGPT "Resume Builder", a GPT app repeatedly featured by OpenAI and ranked among the platform’s highest‑rated GPTs.

- Designed a high‑throughput ingestion pipeline that indexes 5M+ U.S. job postings daily, giving Jobright one of the largest job‑supply feeds in the market.

- Recruited the first ~20 core engineers, mentored the team, and set engineering standards, project‑management practices, and cross‑team collaboration frameworks.

### Engineering Manager @ NewsBreak
Jan 2021 – Jan 2023 | Mountain View, California, United States
Recommendation Systems (Modeling & Strategy):
* Modernized local news recommendations, shifting from a BFM to a continuously trained deepFM model, achieving a 20% rise in page views within a year.
* Optimized UGC video recommendations with sequence features and multi-objective models, leading to a 15% uptick in watch time and engagement.
* Orchestrated the whole-page recommendation system in the core app for cohesive content delivery.

Recommendation Infrastructure & Efficiency:
* Managed the comprehensive recommendation system, from online serving to offline training and data platform.
* Migrated model serving from Python Flask to Finango, DJL, and TorchScript for enhanced performance. Leveraged Kubernetes for stability. Achieved a 20% AWS cost reduction in Q4 2022.

Engineering Leadership:
* As an uber tech lead, fostered collaborations to improve product. Spearheaded projects with push, newsletter, and local business units. Clinched 2nd place in the 2023 AI & LLM hackathon.

### Senior Software Engineer @ Google
Jan 2016 – Jan 2021 | Mountain View, California, United States
* Engineered the global API gateway that mediates secure, real‑time device‑to‑cloud traffic for 200 M + Google Home and Nest devices across 30 + regions.
* Built and operated a containerized serving stack—Kubernetes, Docker, and Envoy—deployed on both GCP and AWS, boosting cross‑region availability and cutting latency.
* Designed a unified data‑access layer that abstracts regional storage backends, enforcing GDPR and other data‑residency requirements while streamlining developer integrations.

### Software Engineer @ Amazon
Jan 2014 – Jan 2016 | East Palo Alto, California, United States
Worked on S3 APIs and AWS storage services


## Education
### Master's Degree in Software Engineer
Carnegie Mellon University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ryan-liu-757096273

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Source: https://flows.cv/ryanliu
JSON Resume: https://flows.cv/ryanliu/resume.json
Last updated: 2026-04-10