# Ray Zhang

> Builder

Location: New York, New York, United States
Profile: https://flows.cv/rayzhang

Backend / Data Engineer

Maintained open-sourced project [Tellery](https://tellery.io)

Interested in distributed systems.

## Work Experience
### Software Engineer @ Ellipsis Labs
Jan 2024 – Present | New York, New York, United States

### Backend & Data Engineer @ 即刻App
Jan 2019 – Jan 2022 | Shanghai, China
Backend Services
* Led the design and implementation of an open-source BI & tool in Node.js, Kotlin and gRPC. This tool has completely replaced Metabase in our company and got 300+ stars on Github.
* Developed a Jupyter-based notebook service with customized kernel containers that can run Spark on Kubernetes.
* Crafted a podcast hosting platform using Node.js, with a serverless ffmpeg-based audio transcoding service.
* Engineered a distributed scraping system in Python and Node.js, leveraging RabbitMQ, Kafka and MongoDB. At peak times it handled 150k+ scraping rules concurrently.
* Engaged in ETH Shanghai Hackathon and won the Best Decentralized Identity Project.

Data Engineering
* Refined our ETL platform which is written in Java and Scala utilizing Airflow and Livy to schedule tasks on the Spark cluster on Amazon EMR. It hosts 100 transformation tasks per day with complex topology.
* Developed a machine-learning model management platform in Python, which manages the model storage in Aliyun OSS and hosts them on Kubernetes.
* Developed several internal tools by Spring boot and React for real-time monitoring of data pipelines and ad-hoc queries.
* Achieved a significant reduction in downtime (from around 10 hrs to 30 mins monthly) for our ad-hoc query service.

Infrastructure
* Enhanced our CI/CD system and maintained our Dockerfiles and Helm charts.
* Developed some Kubernetes operators and CRDs in Golang to meet our business requirements.
* Engaged into the migration of our cluster from AWS to Aliyun.

### Financial Engineer @ 北京口袋财富信息科技有限公司
Jan 2018 – Jan 2019 | Beijing, China
* Implemented some trading strategies in Python, and wrapped them by Flask to provide the service to users. Our strategies served for 1M users and the maximum dropdown is always no more than 15%.
* Developed a fund trading system from inception, using PHP and Laravel, which uses the dependency injection paradigm to adapt different fund ven


## Education
### Master of Science - MS in Computer Science
Stony Brook University
Jan 2023 – Jan 2024

### Bachelor of Science - BS in Mathematics
Stony Brook University
Jan 2014 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/raycursive

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Source: https://flows.cv/rayzhang
JSON Resume: https://flows.cv/rayzhang/resume.json
Last updated: 2026-03-22