Mahantesh Masali
@mahanteshmasali
I build scalable Java and Spring Boot backend systems for high-volume fintech workflows.
IndiaWhat I'm looking for
At EdgeVerve Systems, I build backend microservices and financial-domain REST APIs for corporate banking workflows, owning service design, implementation, and database schema design.
I've improved production batch-processing performance by approximately 40% using Spring Batch remote partitioning and parallel processing across thousands to hundreds of thousands of financial records. I also use Apache Kafka for asynchronous batch execution and optimize SQL, indexing, connection pooling, and transaction handling.
Previously, I contributed Java and Spring Boot backend features for the Finacle banking platform and technical POCs at Brane Enterprises. I enjoy making API development more efficient through metadata-driven tooling that generates Postman collections and test cases.
Experience
Work history, roles, and key accomplishments
Product Engineer
EdgeVerve Systems Limited
Aug 2024 - Present (2 years 2 months)
Improved production batch processing performance by approximately 40% using Spring Batch remote partitioning and parallel processing. Designed and developed REST APIs and backend microservices for corporate banking workflows.
Product Engineer Intern
EdgeVerve Systems Limited
Feb 2024 - Aug 2024 (6 months)
Developed and tested backend features using Java and Spring Boot, contributing to REST API development for the Finacle banking platform. Contributed to Spring Batch and Apache Kafka based solutions for asynchronous processing.
Sustainability Intern
Brane Enterprises
Jul 2022 - Dec 2022 (5 months)
Developed backend services and REST APIs using Java and Spring Boot as part of technical POC initiatives. Gained experience in backend system design, API development, and service integration.
Education
Degrees, certifications, and relevant coursework
Dayananda Sagar College of Engineering
Bachelor of Engineering, Computer Science
2020 - 2024
Grade: 90.08%
Bachelor of Engineering in Computer Science with a grade of 90.08%.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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