Abhishek Kumar
Full Stack Engineer @ HireRight
About
I’m a Full Stack Engineer at HireRight working on large-scale enterprise verification platforms. My work focuses on designing and maintaining backend services that reliably process high-volume data. I build REST APIs using Java and Spring Boot, develop microservices, and implement event-driven workflows using RabbitMQ. I have also worked on relational database and document based database. I’m particularly interested in how backend systems power SaaS products — reliability, observability, and performance. Lately I’ve been exploring integrating AI services into backend workflows to automate repetitive operations and improve system usability. I enjoy solving problems related to system performance, data flow, and architecture rather than just implementing features. Tech Stack: Java, Python, Spring Boot, REST APIs, MongoDB, Redis, RabbitMQ, SQL, MongoDB, Microservices Currently learning: System Design and AI-assisted backend tooling.
India
Bengaluru
Computer Software
User Interaction, XML, Web Technologies, Database Development, Representational State Transfer (REST), Object-Oriented Programming (OOP), C (Programming Language), Web Development, API Development, jQuery, SQL, MongoDB, Programming, Git, JSON, Node.js, Algorithms, Data Structures, REST APIs, MySQL
Experience

Full Stack Engineer
Bangalore
• Implemented an automated vendor-fallback integration workflow where verification requests were dynamically routed to external partner APIs when candidate data was unavailable in the internal database, eliminating manual intervention and improving processing reliability and TAT. • Owned the end-to-end migration of a large application from Java 8 to Java 21, updating dependencies, refactoring deprecated APIs, and ensuring seamless microservice compatibility. • Enhanced the search component by implementing a Debounced and Batched API request mechanism, reducing network calls and improving response time. • Designed and implemented a J2EE-based asynchronous data migration adapter using RabbitMQ for event-driven processing, where source record IDs were published via queue, consumed by the adapter to fetch, transform(via XSLT), and migrate structured data from SQL databases to document stores (MongoDB) through migration APIs, reducing manual data handling by over 80%. • Developed and optimized multiple PL/SQL packages, reducing average query execution time by 25% and improving backend service throughput.
Abhishek Kumar's Contact Information
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