Kartikeya Ranjan

Software Engineer

Chennai, Tamil Nadu, India1 yr 8 mos experience

Key Highlights

Modernized UPI Portal for 650+ banks
Refactored 100+ legacy controllers to REST APIs
Developed gRPC services for Knowledge Graph integration

Stackforce AI infers this person is a Fintech Software Engineer with expertise in scalable systems and automation.

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Skills

Core Skills

JavaReactjsPythonMkdocs

Other Skills

JavaScriptSpring BootArangoDBMachine LearningBlockchainDatabase Management System (DBMS)Operating SystemsObject-Oriented Programming (OOP)C++SQLPostgreSQLApache KafkaApache CassandraRedisREST APIs

About

I am a Software Development Engineer at the National Payments Corporation of India (NPCI), working within the UPI team to build and scale the infrastructure that powers India’s digital payments revolution. Working in the high-volume Fintech sector, I focus on building highly scalable systems and building robust automation tools that handle massive scale.Core Tech Stack: Java, Spring Boot, Javascript, ReactJS, Kafka, PostgreSQL, Redis, and Apache Cassandra.I am a graduate of NITK Surathkal and have a strong foundation in algorithmic problem-solving, object oriented programming and enjoy competitive programming.

Experience

1 yr 8 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 8 mos

Current Experience

National payments corporation of india (npci)

Software Engineer

Sep 2024 – Present · 1 yr 8 mos · Chennai · On-site

Led the modernization of the core UPI Portal for 650+ banks by migrating from JSP to ReactJS, enhancing responsiveness.
Refactored over 100 legacy Spring MVC controllers into REST APIs, resulting in a 35% decrease in page load times.
Improved OneClick, an internal UPI API testing tool, by fixing critical bugs and optimizing multithreading for faster execution.

JavaJavaScriptSpring BootReactJS

Jio platforms limited (jpl)

Software Developer Engineer Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Developed efficient Python gRPC services for data ingestion into ArangoDB, integrating 2.5 million instances into the corporate Knowledge Graph.
Designed and implemented new ontology models to support complex datasets and scraped information.
Created comprehensive documentation for the Knowledge Repository Service using MkDocs, covering 50+ APIs to standardize internal references.
Improved the adoption of internal APIs by restructuring and modernizing the documentation workflow.

ArangoDBPython