Proficient Languages: C/C++ and Python Version Control: Git, Perforce Useful Tools: GDB, Vim, Shellscript, Wireshark Hands-on experience in Linux, FreeBSD, REST api, kubernetes, Regex Full cycle C++ software development (design, develop, unit testing, review, integration testing) Multi-threads programming, scaling C++...

Experience

2021 — NowTikTokSoftware Engineer

2021 — Now

Mountain View, California, United States

US Storage Infra team:

worked on bytedance RPC framework and its integration with different storage products

working on distributed journal system

2019 — 2021NetAppSoftware development Engineer

2019 — 2021

San Francisco Bay Area

Developed and maintained ONTAP data management system, practical working experience on Snapmirror which is the data protection tool for data replication and data management.

Solid understanding of both on-premise and cross-platform Snapmirror, endpoints including ONTAP, solid fire, virtual machine and cloud endpoint(AWS, Azure, GCP etc).

Key player in Snapmirror copy-to-cloud license project (C++ and Python).

Implemented APIs to periodically monitor the total physical usage of source volume in cloud endpoint Snapmirror relationships.

Implemented CLI & REST API to get the cloud endpoint information.

Main contributor in copy-to-cloud backup with Trident(storage orchestrator for containers) and ADC(Filesystem in Userspace plugin) in kubernetes(k8s) cluster. Using Pistache as the REST framework and Swagger for REST APIs (C++).

Implemented a series of REST api calls to manage volume snapshots in the cloud (GCP, AWS, AZURE).

2018 — 2018MogujieNetwork Security Engineer internship

2018 — 2018

Hangzhou, Zhejiang, China

* Deploy SURICATA in a by-pass server, by using splitting flows to collect statistical data.

Test SURICATA in multiple conditions and collect the results(hits in Emerging Threat rule set). Based on the data, select the useful rules to be transplanted into the moguIDS, which is co-operated with WAF(Web Application Firewall)

* Implement Alerts module in moguIDS

Implement intrusion detection for moguIDS in two strategy: IP blacklist and Regex Match based on the selected rules.

Maintain the performance of moguIDS(which is developed based on DPDK), using Hyperscan to achieve fast detection at almost 0.00% loss rate in 350k pps network environment.

Use Hive to accumulate the format data into Hadoop, which is processed for anti-scan and future intrusion prevention purposes.

Education

University of California, Riverside

Master's degree

University of California, Riverside

GPPE

Huazhong University of Science and Technology

Experience

Education

Master's degree

GPPE

Bachelor's degree