Ads Bidding & Value Expression

• Worked on various full-stack features on Appian Low-code platform, utilizing technologies including Java, RESTful APIs, Hibernate, Kafka, Elasticsearch, Template Engine, RDBMS, Liquibase, SAIL(Appian's UI language) and React.

• Lead development on a WebDriver testing tool for Appian using Selenium. Worked on core functionalities and built an API to be extended with 3rd party testing framework. Migrated from legacy Maven project to Gradle and built Gradle commands to improve DevOps experience. Dockerized CI tests to mitigate fragilities.

• Worked on core SAIL language lexer and parser. Enhanced tokenization and architected a tree processor using Double Dispatch Visitor Pattern. The work is later used by 2 other systems in the product.

• Built several IndieTime Showcase-wining features and Code Checkstyle tools

Impact Award Winner Q2 2020

• Recognized by the CEO for highlighting exceptional accomplishments

• Developed low-code API for creating integrations with external systems

• Built 3rd-party integrations with Machine Learning providers including Google Vision and Google Natural Language

• Developed and maintained a Wed Driver testing tool for Appian using Selenium, FitNesse and Cucumber

I worked with the Revenue Cycle Solutions team that focuses on scaling hospital revenue system to manage payer performance, underpayment and denials.

• Developed scalable Big Data ETL solutions using Apache Spark, Scala and Oracle database to analyze large health care datasets in terabytes

• Improved performance by reverse engineering 10+ years old cursor style PL/SQL code to big data batch processing in Spark Scala

• Wrote and executed complete unit and integration tests to ensure software quality

• Built an interactive data analytics tool using Apache Zeppelin that visualize data statistics retrieved from Spark cluster