Prakhar Kumar Email & Phone Number

Bengaluru, Karnataka, India

- Architected and deployed backend services on GCP Cloud Run, ensuring scalable, cost-effective serverless deployment- Developed robust RESTful and GraphQL APIs using Node.js, Express.js, and Apollo Server to efficiently handle data- Optimized database performance with MongoDB Atlas and Mongoose, solving slow query issues and improving data retrieval speeds- Implemented secure authentication and authorization using Firebase Authentication and JWT, addressing security vulnerabilities- Integrated real-time updates with WebSocket and Socket.io, enhancing user engagement through instant notifications- Utilized Elasticsearch for advanced search functionality, resolving slow and inaccurate search results- Enhanced API performance with Redis caching, reducing database load and improving response times during high-traffic- Set up CI/CD pipelines using GitHub Actions, automating testing and deployment to solve manual integration issues- Implemented comprehensive logging and monitoring with Prometheus, Grafana, and Google Cloud Logging, improving system observability and issue resolution- Ensured data security and compliance with Google Cloud IAM and Firebase Security Rules, protecting sensitive user information- Collaborated with frontend developers to design and document API specifications, ensuring seamless integration with the Firebase-hosted React.js frontend- Developed a secure payment gateway integration using Razorpay, addressing payment processing issues- Implemented analytics and reporting with Google BigQuery and Firebase Analytics, providing actionable insights and resolving data inconsistency issues- Optimized performance with GCP Cloud Load Balancing and Cloud CDN, ensuring fast and reliable access during peak periods- Ensured high availability and fault tolerance with multi-region deployments and automated failover on GCP Cloud Run, solving service interruption issues

Gurugram, Haryana, India

- Developed and implemented automated testing frameworks for Bobble AI's keyboard app using Selenium and JUnit, reducing manual testing efforts by 50% and improving product quality through consistent testing- Designed and executed automated performance testing scripts using JMeter, enhancing app responsiveness and reducing memory consumption by optimizing code and resource usage- Implemented an error monitoring and logging system with ELK Stack (Elasticsearch, Logstash, Kibana), reducing app downtime by 30% through proactive issue identification and resolution- Analyzed user feedback and app usage patterns, leveraging Google Analytics and Amplitude, to implement personalized prediction models that increased typing accuracy by 15%- Conducted load testing using Apache JMeter to ensure the app can handle heavy user traffic, identifying and optimizing performance bottlenecks under simulated high loads- Developed and executed regression testing suites with Python and Pytest, ensuring new features did not introduce bugs or regressions in existing functionality- Collaborated with security teams to perform OWASP security testing, identifying and addressing vulnerabilities to ensure the app's security posture met industry standards- Maintained comprehensive documentation for testing procedures, tools, and automation frameworks using Confluence, facilitating knowledge sharing and onboarding of new team members