Rahul Sirasao

Lead Member of Technical Staff @At&t Labs, Inc

San Francisco, CA, US

TurboLive (AT & T Turbo)- Engineering ultra-fast, scalable APIs using Quarkus, Apache Camel, and Java to power AT & T Turbo—a premium 5G service that prioritizes mobile data for gaming, streaming, and video calls. Designed with peak traffic moments in mind, including global events like the FIFA World Cup USA, to ensure real-time responsiveness and seamless user experiences even under massive network demand. MVNO API Modernization Initiative- Led the transformation from SOAP to RESTful APIs with MuleSoft, driving in 5G revenue via mobility reseller integration. Ensured high performance with DataWeave transformations and multi-environment testing. 9PD Network Topology & Time Series Dashboard- Built a 911 PSP Dashboard in Grafana for real-time 911 infrastructure monitoring at AT & T, reducing false positives, improving alert precision, and strengthening security with proactive updates.🤖 Python Selenium Bot & RESTful Microservice (iBot RPA)- Built a scalable Selenium bot within a Flask-based REST API, automating ticketing workflows in Snowflake and reducing processing time from 5 minutes to 2 seconds. Preload Automation Tool (POLO Platform)- Developed a Python-based XLSM automation tool for AT & T Network Cloud, updating thousands of cell values per minute, saving $800K+ annually, and streamlining operations via SaaS playbooks. MVNO TMF Deployment Production Dashboard- Developed an Azure DevOps Visualization Tool using REST API Python requests and Apache Airflow DAGs to aggregate real-time deployment statuses into Snowflake. Delivered Grafana dashboards, optimizing tester workflows. DCU Capacity Management Dashboard- Designed dynamic Grafana dashboards by leveraging Airflow-based pipelines to provide real-time capacity insights, optimizing resource utilization and decision-making.

University of Illinois Urbana-Champaign

Bachelor’s Degree, Computer Science and Statistics