NLP Search Engine

To make ticket filtering more accurate and reduce duplicate Zendesk tickets, I led a team of 2 other junior developers and managed the delivery of a natural language processing search engine for looking up relevant support tickets based on Stanford's unsupervised learning algorithm, Global Vectors for Word Representation.

Through the process, I developed and managed automated scripts, continuous builds and deployments. In addition, I participated in design and development of SaaS APIs and performed detailed analysis, design, software integration, and testing to ensure the quality of the product.

At the end of my tenure, I prepared operational procedural documentation for the technical support staff.

• PlatformCloud
• StackPython, Docker, MongoDB

API Hub

Accordingly, I built a custom API documentation space, built upon Swagger Hub, to ease access and generate clarity for future and current developers.

• PlatformWeb
• StackReact, Swagger Hub