Adarsh Upputuri

Associate Software Engineer | Java Developer | AI Enthusiast · Bangalore

Software Development Engineer with 2+ years of experience building scalable backend systems in the fintech domain. Proficient in Java 17, Spring Boot, microservices architecture, and event-driven systems using Apache Kafka. Experienced in designing high-performance REST APIs, optimizing database queries, and implementing secure KYC and loan processing workflows. Strong foundation in data structures, design patterns, and system design (HLD/LLD), with a focus on building reliable and maintainable distributed systems. Interested in solving real-world backend challenges involving scalability, performance, and system design. Actively strengthening skills in Data Structures & Algorithms and Low-Level Design. Open to backend engineering opportunities where I can contribute to building robust and scalable systems.

Experience

Associate Software Engineer

Tech Mahindra · Dec 2023 – Present

Not yet confirmed

• • Developed production REST APIs for customer onboarding, Loan Application processing and KYC processing, using Java 17,
• Spring Boot, and Spring Security, reducing response time by 30% via query optimization and caching.
• • Standardized REST API interactions using Spring Cloud Open Feign and Rest Client, incorporating abstract factory pattern for extensibility, cutting integration time by 20% and code redundancy by 15%.
• • Refactored legacy code with Java Streams, Lombok, and MapStruct, adhering to SOLID principles, reducing technical debt and lowering bug reports by 10%.
• • Enhanced database performance by designing normalized PostgreSQL schemas, implementing B-tree indexing, and optimizing queries, improving retrieval speeds by 15%.
• • Built and maintained CI/CD pipelines with Jenkins and Maven, eliminating manual release errors and speeding up deployments
• • Wrote unit and integration tests using JUnit 5 and Mockito, achieving 90%+ code coverage across all modules.
• • Resolved production incidents and applied root-cause fixes, improving overall application stability by 15%.
• • Boosted Agile workflows using JIRA, Confluence, and Bitbucket CI/CD pipelines, increasing team productivity by 40%.