Search Application

Knowledge Base Search Application

Developed knowledge base search application for SoCalGas to replace aging search solution by Oracle. Incorporated natural language processing and jaro-wrinkler distance algorithm. Designed and developed the solution to handle high traffic on the utility website. App also captures analytical data such as unique hits, popular topics, popular search terms, etc.

URL: MySearch

Technology Stack: Java, Spring Boot, AngularJS, PostgreSQL, Tomcat, Linux

Forecast Model

Compute forecast models for energy savings

Designed and developed web based application to calculate future therms savings from energy efficiency programs at SoCalGas. Application uses complex algorithms to create portfolio wide savings models and display dynamic graphs

Technology Stack: Javascript, Node.js, AngularJS, ExpressJS, MongoDB