Software Engineer - Machine Learning
CurrentProject - Machine Learning platform.- Work on designing, implementing, maintaining and scaling ML inference pipelines for both realtime serving and offline batch.- Build asynchronous inference frameworks for serving long processing models.- Work on Deployment of data science models to staging and production environments. - Load test data science models to get performance metrics and identify resources limits or design issues before releasing to prod.- Build automated pipelines for features validation in prod environment.- Build api data driven testing framework using Python.2015 - 2017Project - Wufoo: Online Form Builder application for creating forms including contact forms, online payments, online surveys and event registration forms.- Built from scratch automated testing framework for Mobile web application using Appium with Java and TestNG.- Built automated testing framework for web frontend app using Selenium WebDriver and PHP Codeception frameworks.- Developed efficient testing tools for fast scanning thousands of app web pages.- Lead and mentor offshore test automation team members.- Create, maintain, and execute test strategies and confirmatory tests for various types from simple to complex user stories that involve gray & white box testing.- Build detailed Acceptance, Functional, Integration and API tests.- Participate in Agile Sprint meetings to groom, review, demo and plan for user stories.