# Hui W.

> 💻 Software Engineer @ Witness AI | 🎓 Yale CS | ⚙️ Backend • Distributed Systems • Cloud • Infra | 🚀 AI Enthusiast | 🌍 ENFJ

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/huiw

💻 I’m a Software Engineer with 3 YOE building reliable, large-scale systems. Currently at Oracle Database, where I work on high availability, replication, and recovery features in the database kernel (C/C++), making enterprise-critical systems faster and more resilient.

⚙️ My technical background spans backend engineering, distributed systems, and cloud infrastructure. Skilled in C/C++, Go, Java, and Python, I’ve designed and optimized systems that leverage Kubernetes, Docker, and CI/CD pipelines (Jenkins, Travis CI) for robust deployments. I’m also hands-on with databases (Oracle, MySQL, Redis) and observability stacks (Prometheus, Grafana, Kafka, Elasticsearch).

🌐 Beyond backend, I have experience with front-end & cross-platform development—using React, React Native, Expo, and Figma to build user-facing features and prototypes that connect infra to end-users. This gives me full-stack awareness and the ability to collaborate across layers.

🤖 I’m an AI enthusiast, curious about where infrastructure meets ML/AI—especially in building scalable platforms that support next-gen workloads.

🌟 As an ENFJ, I thrive in collaborative, cross-functional environments, bringing both technical rigor and people-focused energy. I love tackling complex problems, learning across domains, and building solutions that make a real impact.

## Work Experience
### Software Engineer @ WitnessAI
Jan 2026 – Present | Mountain View, California, United States

### Software Engineer @ Oracle
Jan 2023 – Jan 2025 | United States

### Software Engineer @ Tencent
Jan 2021 – Jan 2022
Built a distributed I/O-intensive open-source dependency mirror server from scratch using Golang, handling over 20 million download requests per day with an SLA of 99.99 %. Performed runtime analysis with pprof and addressed performance hotspots with lock-free programming and size-hierarchical memory pooling.
Developed an end-to-end solution for logging users’ operations into Kafka’s asynchronous messages, synchronizing the data to Elasticsearch with Python, and visualizing the data with Grafana.
Migrated 12 million artifacts to new storage using a dual-write mechanism with zero downtime.

### Software Engineer @ TuSimple
Jan 2020 – Jan 2021
Designed a high available cloud-native monitoring solution compatible with historical metric data. 
Deployed components to collect, forward, and store monitoring data. 
Created metric dashboards and provided data visualization for SRE and dev teams. 
Performed chaos testing by simulating network failure and machine OOM.


## Education
### Master of Science - MS in Computer Science
Yale University

### Bachelor's degree in Computer Science
Huazhong University of Science and Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/hui-wang-cs

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