• Worked in an agile environment to develop a facet-based SOLR-search-powered dashboard using React.js, Flask, Aurora
RDS and Amazon SES to manage job seekers on platform. Later on, migrated client-side filtering to much more powerful
SOLR-powered facet-filtering, thereby reducing latency by 30%.
• Developed a customer onboarding tool to populate data from multiple third-party sources into Aurora RDS, leveraging
Amazon SQS. Thus allowing customers to edit their profile data in incremental steps, resulting in a 60% increase in
customer engagement and 150% improvement in profile completeness metrics.
• Engineered an automation test framework for CareerHub using Selenium, incorporating both TDD and BDD method-
ologies. Integrated it with GitHub CI/CD pipeline, significantly boosting the efficiency of testing procedures and overall
quality assurance of the product thereby reducing build failures by 40%.
• Owned backend and frontend codebases of data dashboards powered through AWS Redshift and Kinesis Firehose by
tailoring appropriate SQL queries to quantify each data metric.