Abhishek Gangwar

– Engineered a Java Playwright–based system for end-to-end insurance quote retrieval across multiple partner insurer platforms, replacing manual workflows previously handled by 40+ operators and achieving over 80% accuracy, reducing operational costs by 60%. – Developed and optimized RESTful APIs using Node.js and MySQL to implement a partner priority scoring system that enables sales teams to efficiently allocate support resources based on lead quality and partner performance metrics. – Integrated AI workflows and used Cursor AI IDE to accelerate development cycles, enhance accuracy, and reduce operational costs through improved partner data processing workflows. – Enhanced existing systems by fixing critical bugs, implementing pagination logic, and adding sidebar functionalities to improve user experience and platform stability.

– Built scalable RESTful APIs using Spring Boot (Java) and FastAPI/Flask (Python), implementing full CRUD operations, and used Postman and Swagger for API testing and documentation. – Automated 13+ complex backend workflows for distributed database systems, reducing manual effort by 70% and improving system reliability. – Managed performance and fault-tolerance for large-scale DataStax Enterprise clusters on AWS, handling 118-node clusters and loading 500+ GB per node from AWS S3 for production-level testing. – Replaced legacy CTool cluster provisioning with Terraform Infrastructure as Code, reducing cluster setup latency and increasing deployment efficiency by 10-20%. – Set up Grafana dashboards to monitor system performance, node health, and latencies, enabling quick issue detection during failures. – Created Terraform scripts to automate AWS EC2 cluster deployments, improving reliability and speeding up environment setup for engineering teams.