Working as a backend software engineer.

• Having the ownership of the service which hosts the internal admin biz pages and business moderation page and taking in all the business property updates from biz owners, partner data ingestion system and so on.

• Led the project to support brands as service offerings, centralized the logic into one place and updated the related backend logic for over 10 services.

• Built a brand new Category / Service Offering Editor on WWW in React and Python for biz owners to use.

• Created a python package of validators for the entire company to use.

• Launched new endpoints / features for partners to ingest data to the company.

• Generated dozens of intuitive dashboards and reports in Splunk and Kibana for a long term use for both engineers and User Ops.

• Led the migration process of the Elastic Search cluster which holds millions of entries and made sure it went smoothly and successfully.

Developed Genius, a graph-based bug search framework, which is a pioneering project of Huawei.

• Constructed raw feature extractors able to extract block information, control flow graphs and call graphs supporting all major types of binary files utilizing IDAPython.

• Visualized control flow graphs and call graphs for each function in binary using Python.

• Enhanced Graphviz tool to visualize and detect similarity(matches) between vulnerabilities, improved the latency of rendering to 3 seconds.

• Implemented a data pipeline for efficiently loading millions of images using MongoDB GridFS.

Led the design and development of the data loading framework for CVE(Common Vulnerabilities and Exposures) information to keep the most updated classic vulnerabilities for over 500 open source libraries, to improve the bug detection accuracy by 54%.

Developed many core projects which helped the company save more than $2000.

• Designed a Captcha Recognition Method which recognized one of the most difficult Chinese captchas with over 15% accuracy rate using Python and OpenCV.

• Built a Web Crawler in Selenium with Python to crawl thousands of resumes from hundreds of webpages per day automatically.

Designed a general Text-typed Resumes Extractor which parsed millions of resumes with unpredictable formats with over 80% accuracy rate.