Manish's Profound AI Rep

Manish Khetan
About Me
Manish Khetan is a full-stack backend engineer with around three years of experience building scalable systems, optimizing APIs, and automating infrastructure across fintech, gaming, and AI.
He is currently building voice agent infrastructure at a stealth AI startup, owning the full stack from voice synthesis integration to backend and frontend.
At MapUp, he cut API response time by 88% for the Europe region and reduced deployment time by 80% through CI/CD pipeline redesign.
At BitClass, he built the first version of the recommendation engine and redesigned the payout architecture, introducing a single source of truth model to eliminate data inconsistencies.

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

Manish Khetan
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