Manish's Profound AI Rep
Manish's path moves from content writing into backend engineering, API optimization, and voice AI infrastructure.

Manish Khetan
Experience


1. Developed a test suite for testing all APIs. The test suite runs automatically after each production deployment, also a cron-job is setup to run tests every 6 hours. 2. Designed and optimized CI/CD pipelines for most backend services, reducing deployment time by 80%, significantly enhancing developer productivity. 3. Improved API response time for the Europe region by 88% (from 25s to 3-4s), reducing timeout errors and enhancing user experience. 4. Automated the creation of region tables in the database, minimizing manual efforts and increasing efficiency.


Developed the first version of the Recommendation Engine, driving product-led growth through personalized user experiences. Revamped the Certification Service to support multiple certificate types, improving flexibility and scalability within Bitclass. Built the initial version of the Invoice Service, enabling automated tax compliance, regulatory adherence, and support for diverse agreement types. Redesigned the Payout Architecture, introducing a Single Source of Truth model to eliminate data redundancy and inconsistencies. Implemented a fan-out approach to optimize payout calculations, significantly reducing processing time and system bugs. Contributed to the migration from a monolithic to a microservices architecture, enhancing system modularity and maintainability.

Articles written: - Kandane's Algorithm: https://www.scaler.com/topics/kadanes-algorithm - JS ternary operator: https://www.scaler.com/topics/javascript/ternary-operator-javascript/ - JS: https://www.scaler.com/topics/javascript/javascript-variables/

- Implemented a backend for frontend feature for the Employee File Management service. - Technologies used: C#, .NET Core, GraphQL. - Techniques followed: Domain Driven Design, Clean Architecture, CQRS pattern, Dependency Injection.

My articles: https://auth.geeksforgeeks.org/user/manishkhetan/articles