Raghav Pangasa

Key contributor to the Central Tools team, developing internal tools, mentoring junior members, and actively participating in recruitment. Created "Optimus," a robust monitoring dashboard with Python, JavaScript, and AWS CloudWatch, preventing infrastructure outages by monitoring AWS assets (instances, volumes, target groups, and auto-scaling groups). Excelled as SQL and SSIS Developer for Finance Accounting Reconciliation, managing OCL, PPSL, and PEPL data reconciliation. Handled over 8 Crore daily transactions, ensuring accurate accounting and reporting for finance.

Contributed to the maintenance and feature expansion of the Deep Listen application, focusing on extracting advertisements and data from streaming videos of U.S.A. television channels. Implemented seamless SSO (Single Sign-On) integration for Deep Listen, utilizing Python, JavaScript, and Azure AD. Automated AWS Infrastructure for the application using Terraform, streamlining operational processes.

Spearheaded the creation of a QA Automation framework for Decentralized applications, streamlining testing processes. Automated manual testing for both the client and Magic FinServ using Python, Shell Scripts, Postman, and Cypress. Collaborated closely with the development team to comprehend product deployment cases, ensuring effective testing strategies.

Architected, developed, and deployed Intrusion Detection System as Software Team Lead. Mentored and led a 5-member team, ensuring smooth project execution. Served as SPOC for vendors and customers, fostering effective communication. Worked on 2D & 3D LiDAR-Agnostic Perception Software as a Machine Learning Engineer and Software Developer. Successfully deployed and demonstrated the software at 6 locations along the Indian border, as well as in South Africa, U.S.A., Dubai, and a factory in Pune.